【初心者向け🔰】Stable Diffusionの使い方・Google Colabでの導入方法について

This tutorial video provides a beginner-friendly guide on using Stable Diffusion with Google Colaboratory. It starts by guiding viewers to find and copy the Stable Diffusion repository link from GitHub, then pasting it into Google Colab. The video walks the audience through the process of connecting Google Drive, installing necessary requirements, and selecting a model to generate images using prompts. The default model is used for demonstration, but the video highlights that using alternative models, such as the 'Beautiful Realistic Asians' model, can significantly enhance the quality and realism of the generated images. The host encourages viewers to subscribe for more detailed instructions on incorporating advanced models in future videos.

Takeaways

• 🔍 Search for 'Stable Diffusion' on GitHub to find the relevant repository.
• 📄 Click on the code button and copy the HTTPS link provided.
• 🌐 Open Google Colaboratory and connect it to your GitHub account.
• 🔗 Paste the copied link and select the 'Fast Stable Diffusion' repository from the options.
• 📁 Save a copy of the repository to your Google Drive before proceeding.
• 🤖 Confirm that you are not a robot and grant access to Google Drive.
• 📦 Install necessary packages and requirements by running the 'Install and Requirements' cells.
• 🚀 Select model version 2.1 and initiate the model and control net.
• 🖼️ Generate an image using a prompt and a negative prompt in the designated blocks.
• 🎨 The default model may not produce the best results, but using alternative models like 'Beautiful Realistic Asians' can significantly improve image quality.
• 📈 The realism of the generated images can be dramatically enhanced with the right model, although details like fingers may still require improvement.
• 📝 For advanced usage and incorporating specific models, further instructions will be provided in subsequent videos.
• 📺 If you find the tutorial helpful, subscribe to the channel for more content.

Q & A

What is the first step to use Stable Diffusion with Google Colaboratory?

The first step is to search for 'Stable Diffusion' on GitHub by going to github.com and entering the term in the search window at the upper right corner.

How do you find the Stable Diffusion repository by TheLastBen on GitHub?

After searching for 'Stable Diffusion', scroll down a bit and look for an entry labeled 'TheLastBen'. Click on this URL to access the repository.

What should you do once you are on TheLastBen's Stable Diffusion repository page?

Click on the 'code' button in the upper right corner, then copy the link that starts with 'https'.

How do you open and configure Google Colaboratory to work with the Stable Diffusion repository?

Open Google Colaboratory, click on the 'GitHub' tab, paste the copied link, select 'Fast Stable Diffusion' as the repository, and click on the 'AUTOMATIC1111' URL.

What is the initial action to take once you have the Stable Diffusion notebook open in Google Colab?

From the 'File' tab, click on 'Save a copy to drive' before proceeding with any other steps.

How do you prove that you are not a robot and give Google Colab permission to access your Google Drive?

Click on the play button to the left of 'Connect Google Drive', complete the robot verification, and then accept the terms of use and other terms and conditions to grant access.

Which model did the video mention for generating high-quality images?

The video mentioned using a model called 'Beautiful Realistic Asians' for generating high-quality images.

What is the limitation mentioned about the default model in generating images?

The limitation of using the default model is that the quality of the generated image may not be as good as it could be compared to using other models.

How can you improve the quality of the generated image with Stable Diffusion?

You can improve the quality of the generated image by using a different, more advanced model such as 'Beautiful Realistic Asians'.

What does the video suggest doing if you find the tutorial helpful?

If you find the tutorial helpful, the video suggests subscribing to their channel and staying tuned for more content.

What additional steps are required to incorporate the 'Beautiful Realistic Asians' model?

The video mentions that there are a few more steps required to incorporate the 'Beautiful Realistic Asians' model, which will be explained in the next video.

How can one generate an image using Stable Diffusion in Google Colab?

To generate an image, you put a prompt in the top block and a negative prompt in the bottom block within the Stable Diffusion notebook in Google Colab.

Outlines

00:00

📚 Introduction to sStable Diffusion with Google Colab

The video begins with an introduction to sStable Diffusion, an AI model for generating images, and how to use it with Google Colaboratory. The host encourages viewers to follow along, even if they find the process daunting. The steps include searching for sStable Diffusion on GitHub, selecting the repository by TheLastBen, copying the repository link, and then importing it into Google Colab. The video provides a detailed walkthrough of the process, from saving the copy to the Google Drive to running the necessary installations and requirements. The host also explains how to select the model and start the image generation process using prompts.

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model that generates images from textual descriptions. It is a significant development in the field of artificial intelligence, particularly in the area of generative models. In the video, it is the main tool used to create images from prompts, showcasing its ability to generate high-quality visuals.

💡Google Colaboratory

Google Colaboratory, often abbreviated as Colab, is a cloud-based platform provided by Google that allows users to write and execute Python code in their browser. It is used in the video to access and run the Stable Diffusion model without the need for high-end hardware.

💡GitHub

GitHub is a web-based platform for version control and source code management that allows developers to collaborate and share code. In the context of the video, GitHub is used to find and access the Stable Diffusion repository created by TheLastBen.

💡Repository

A repository in the context of software development is a location where the source code of a project is stored and managed. In the video, selecting the Fast Stable Diffusion repository is a step towards accessing the necessary code for using Stable Diffusion on Google Colab.

💡Model

In machine learning, a model refers to the algorithmic representation of a set of data and its patterns. In the video, different versions of the Stable Diffusion model are mentioned, such as v2.1, which determines the quality and style of the generated images.

💡Prompt

A prompt is a textual description or input given to the AI model to guide the generation of an image. It is a crucial part of using Stable Diffusion, as the quality and relevance of the generated image depend on the prompt's clarity and specificity.

💡Negative Prompt

A negative prompt is a type of input provided to an AI model to specify what should be avoided or not included in the generated image. It helps refine the output by excluding unwanted elements, as demonstrated in the video when creating images with Stable Diffusion.

💡Beautiful Realistic Asians

This refers to a specific model or style of image generation within Stable Diffusion that has been popular on social media platforms like Twitter. It is mentioned in the video as an example of a model that can produce highly realistic human faces.

💡Thumbnail

A thumbnail is a small, representative image used to preview a video or an article. In the context of the video, the thumbnail is generated using the Stable Diffusion model and showcases the potential of the AI to create realistic images.

💡Terms of Use

Terms of Use are legal agreements between a service provider and its users that outline the conditions under which the service is provided. In the video, viewers are advised to read through these terms before using Google Colab to ensure they understand and agree to the conditions of use.

💡Robot Verification

Robot Verification is a security measure used to ensure that the user is a human and not an automated program. In the video, proving that you are not a robot is a step in the process of connecting Google Drive to Google Colab.

💡Subscription

A subscription, in the context of online content platforms like YouTube, is the act of signing up to receive updates and new content from a specific channel. The video encourages viewers to subscribe to stay updated on future tutorials related to Stable Diffusion.

Highlights

A tutorial on using Stable Diffusion with Google Colaboratory is presented.

The video aims to be concise, encouraging even beginners to try using Stable Diffusion.

Instructions start with searching for 'Stable Diffusion' on GitHub.

Click on the repository by TheLastBen to access the code.

Copy the HTTPS link from the 'code' button on the repository page.

Open Google Colaboratory and connect it to GitHub.

Paste the copied link and select the Fast Stable Diffusion repository.

Choose the AUTOMATIC1111 URL to proceed.

Save a copy of the notebook to your Google Drive before starting.

Click the play button to connect Google Drive and prove you're not a robot.

Grant Google Colaboratory permission to access your drive.

Execute the 'Install and Requirements' cells in the notebook.

Select model v2.1 and run the associated cells.

Choose the control net and run the Stable Diffusion cell to generate an image.

A URL will appear after a wait; clicking it finalizes the image generation.

Images can be generated using prompts and negative prompts in designated blocks.

The default model may not produce the best results, but other models can significantly improve image quality.

The 'Beautiful Realistic Asians' model is mentioned for its ability to create highly realistic images.

The tutorial demonstrates the ease and speed of generating high-quality images with Stable Diffusion.

Further steps to incorporate the 'Beautiful Realistic Asians' model will be covered in a follow-up video.

The video encourages viewers to subscribe for more content on using Stable Diffusion.