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

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26 Apr 202303:48

TLDRこの動画では、初心者でも簡単に理解できるように、Google ColaboratoryでStable Diffusionを使う方法を簡潔に説明します。GitHubでTheLastBenのStable Diffusionリポジトリをクローンし、Google Driveに保存した後、必要なライブラリをインストールします。そして、モデルを選定してプロンプトを入力することで、高品質な画像を生成できます。特にBeautiful Realistic Asiansモデルを使った画像は、非常にリアルな顔を生成できると話題です。

Takeaways

  • 🔍 Search for 'Stable Diffusion' on GitHub to find the repository.
  • 📋 Click on the code button and copy the HTTPS link provided.
  • 🌐 Open Google Colaboratory and paste the copied link in the GitHub tab.
  • 📁 Select 'Fast Stable Diffusion' as the repository from the options.
  • 💾 Save a copy of the notebook to your Google Drive before proceeding.
  • 🤖 Verify that you are not a robot and grant access to Google Drive.
  • 📝 Read and accept the terms of use and other conditions.
  • 🏃 Click the play button for 'Install and Requirements' to set up the environment.
  • 🎨 Choose model v2.1 and initiate the control net for Stable Diffusion.
  • 🖼️ Generate images using prompts and negative prompts in the provided blocks.
  • 📈 The quality of generated images can be improved by using different models.
  • 📈 The 'Beautiful Realistic Asians' model has been popular for its realistic output.
  • 👉 More steps to incorporate the 'Beautiful Realistic Asians' model will be explained in a follow-up video.
  • 📢 Subscribe to the channel for more tutorials and updates.

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 navigating to github.com and using the search window in the upper right corner.

  • How do you access the Stable Diffusion repository from GitHub?

    -After searching for Stable Diffusion, scroll down to find an entry labeled 'TheLastBen' and click on the URL provided.

  • What should you do once you are on the Stable Diffusion GitHub page?

    -Click on the 'code' button in the upper right corner and copy the link starting with 'https'.

  • What is the next platform to use after copying the GitHub link?

    -Open Google Colaboratory in your web browser.

  • How do you connect a GitHub repository to Google Colaboratory?

    -Click on the 'GitHub' tab in Google Colaboratory and paste the copied link, then select 'Fast Stable Diffusion' as the repository.

  • What should you do after selecting the repository in Google Colaboratory?

    -Click on the lower URL named 'AUTOMATIC1111' to proceed to the next step.

  • What is the initial action to take in the Google Colaboratory interface?

    -From the 'File' tab, click on 'Save a copy to drive' before continuing with the setup.

  • How do you prove that you are not a robot in Google Colaboratory?

    -Click on the play button to the left of 'Connect Google Drive' and complete the CAPTCHA challenge to prove you are not a robot.

  • What are the next steps after connecting Google Drive?

    -Review the terms of use and other terms and conditions, then click the play button for the items that start with 'Install' and 'Requirements'.

  • Which model is selected by default for generating images?

    -The default model selected is v2.1.

  • What is the process to generate an image using Stable Diffusion?

    -Put a prompt in the top block and a negative prompt in the bottom block, then wait for the image generation process to complete.

  • How does the quality of the generated image differ with different models?

    -Using a different model can significantly improve the quality of the generated image, even with the same prompt.

  • What is the name of the model featured in the video thumbnail?

    -The model featured in the video thumbnail is called 'Beautiful Realistic Asians'.

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

    -To use the 'Beautiful Realistic Asians' model, you need to follow a few more steps which will be explained in the next video.

Outlines

00:00

📚 Introduction to Using sStable Diffusion with Google Colab

The video begins with an introduction to using sStable Diffusion with Google Colaboratory, encouraging viewers to stick with the tutorial despite any initial difficulties. The presenter guides the audience through a step-by-step process of accessing the sStable Diffusion repository on GitHub by searching for it and copying the HTTPS link. They then demonstrate how to open Google Colaboratory, connect it to GitHub, and select the appropriate repository and URL. The video emphasizes that despite the complexity of the interface, following the steps will make the process straightforward.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is a machine learning model designed for generating images from textual descriptions. It is a part of the broader field of artificial intelligence known as generative models. In the video, it is the primary tool used to create images, and the process of using it with Google Colaboratory is the main focus of the tutorial.

💡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 collaboration that allows developers to work on projects together. In the context of the video, GitHub is used to find and access the Stable Diffusion code repository created by the user TheLastBen.

💡Repository

A repository on GitHub is a location where projects are stored and versioned. It contains the project's files, history, and information about who did what and when. In the video, selecting the 'Fast Stable Diffusion' repository is a step in the process of using Stable Diffusion with Colab.

💡Model

In the context of machine learning, a model refers to the algorithmic representation of a set of patterns. In the video, the user is instructed to select 'v2.1' as the model version for Stable Diffusion, which determines the specific version of the algorithm that will be used to generate images.

💡Prompt

A prompt is a textual description or input that guides the Stable Diffusion model to generate a specific type of image. It is a crucial part of the image generation process as it directly influences the output. The video demonstrates how to input prompts to generate images.

💡Negative Prompt

A negative prompt is a type of input used in conjunction with a positive prompt to guide the Stable Diffusion model to avoid including certain elements in the generated image. It helps refine the image generation process. In the video, a negative prompt is mentioned as part of the image generation steps.

💡Beautiful Realistic Asians

This refers to a specific model variant of Stable Diffusion that has gained popularity for its ability to generate highly realistic images of Asian faces. The video uses this model as an example to show the potential of Stable Diffusion in creating detailed and realistic images.

💡Thumbnail

A thumbnail is a small, representative image that is 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 quality of images that can be produced with the 'Beautiful Realistic Asians' model.

💡Subscription

A subscription, in the context of online content platforms like YouTube, is a user's action 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 and content.

💡Terms of Use

Terms of Use are legal agreements between a service provider and its users that outline the rules and guidelines for using the service. In the video, viewers are advised to read through these terms before proceeding with the setup of Stable Diffusion in Google Colab.

Highlights

Demonstration of using Stable Diffusion with Google Colaboratory for beginners.

Instructions on how to search for Stable Diffusion on GitHub and copy the repository link.

Guidance on opening Google Colaboratory and connecting it to GitHub.

Selection of the Fast Stable Diffusion repository from the provided URLs.

Explanation of saving a copy of the project to Google Drive.

Process of granting access to Google Drive and proceeding with the installation.

Selection of model v2.1 and initiating the installation process.

Introduction of the control net and the Stable Diffusion components.

Appearance of a URL after the installation, which is used to generate images.

Method of generating an image using a prompt and a negative prompt.

Mention of the default model's limitations and the potential for better image quality with alternative models.

Discussion on the 'Beautiful Realistic Asians' model and its recent popularity on Twitter.

Observation of the model's ability to produce highly realistic human faces.

Note on the minor issues with the model's rendering of fingers.

Showcasing the capability to generate high-quality images instantly with the selected model.

Teaser for additional steps to incorporate the 'Beautiful Realistic Asians' model in the next video.

Call to action for viewers to subscribe to the channel for more content.

Closing remarks and thanks for watching the tutorial.

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