【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

TLDRThis tutorial video guides beginners on how to use Stable Diffusion with Google Colaboratory. The process is explained step-by-step, starting with finding the Stable Diffusion repository on GitHub, copying the URL, and then using it in Google Colab. After saving the copy to Google Drive and granting access, viewers are instructed to install the necessary requirements and select a model. The video demonstrates generating an image using prompts and highlights the potential for higher quality images with different models. It also mentions the 'Beautiful Realistic Asians' model, which has gained popularity for its realistic face generation. The video concludes by inviting 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 paste the copied link in the GitHub tab.
  • 📁 Select 'Fast Stable Diffusion' as the repository and click on the 'AUTOMATIC1111' URL.
  • 💾 Use 'File' > 'Save a copy to drive' before proceeding with the setup.
  • 🤖 Click the play button next to 'Connect Google Drive' and verify you're not a robot.
  • 📝 Read and accept the terms of use and conditions to proceed.
  • 🏃 Press play for 'Install and Requirements' to set up the necessary packages.
  • 🔧 Choose model v2.1 and the control net, then press play to start the process.
  • 🖼️ Generate images using prompts and negative prompts in the designated blocks.
  • 🎨 The default model may not produce the best results, but using a specialized model like 'Beautiful Realistic Asians' can significantly improve image quality.
  • 📈 The realism of the generated images, especially the face, has seen dramatic improvements with the right model.
  • 📹 For more advanced steps to incorporate models like 'Beautiful Realistic Asians', stay tuned for the next video.
  • 📢 Subscribe to the channel for more helpful content 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 and navigate to TheLastBen's repository.

  • How do you copy the repository link from GitHub?

    -You click on the code button in the upper right corner of the repository page and copy the link starting with https.

  • What should you do after copying the link from GitHub?

    -Open Google Colaboratory, go to the GitHub tab, paste the copied link, and select the 'Fast Stable Diffusion' repository.

  • Which URL should you click on to proceed with the setup in Google Colab?

    -Click on the lower URL named 'AUTOMATIC1111' to proceed with the setup.

  • What action is required before you can start using Stable Diffusion in Google Colab?

    -You need to save a copy of the notebook to your Google Drive and connect Google Drive to Colab.

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

    -You have to complete a captcha challenge that typically involves clicking on specific items or images.

  • What model version is suggested to start with in the video?

    -The video suggests starting with model version v2.1.

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

    -You put a prompt in the top block and a negative prompt in the bottom block, then wait for the image to be generated.

  • What is the name of the model used for the thumbnail in the video?

    -The model used for the thumbnail is called 'Beautiful Realistic Asians'.

  • How does the 'Beautiful Realistic Asians' model differ from the default model?

    -The 'Beautiful Realistic Asians' model generates images with significantly improved facial realism, although it might have some issues with details like fingers.

  • What does the video suggest for users who want to incorporate the 'Beautiful Realistic Asians' model?

    -The video suggests 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 viewers stay updated with the channel's content?

    -Viewers can subscribe to the channel to stay tuned for more content and updates.

Outlines

00:00

📚 Introduction to sStable Diffusion with Google Colab

This paragraph introduces the viewer to the process of using sStable Diffusion with Google Colaboratory. The speaker encourages even those who find it daunting to follow along. The steps include searching for Stable Diffusion on GitHub, selecting a specific repository, copying a link, and then using Google Colab to access and run the Stable Diffusion model. The speaker emphasizes that despite the complexity, following the steps will make the process easy. The viewer is guided to save their work to Google Drive, verify they are not a robot, and grant necessary permissions. They are also instructed on how to install and run the model, select a model version, and finally generate an image using prompts. The paragraph concludes with a teaser about a more advanced model called Beautiful Realistic Asians and an invitation to subscribe for more information.

Mindmap

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 primary tool used to create images, making it central to the video's theme of demonstrating how to use this technology with Google Colab.

💡Google Colaboratory

Google Colaboratory, often abbreviated as Colab, is a cloud-based platform for machine learning education and research. It allows users to write and execute code in a custom version of Jupyter Notebook, utilizing Google's infrastructure. In the context of the video, it is the environment where Stable Diffusion is being utilized to generate images.

💡GitHub

GitHub is a web-based platform for version control and source code management, where developers can share and collaborate on projects. In the video, GitHub is used to find and access the Stable Diffusion repository created by TheLastBen, which is essential for the process of setting up the AI model in Colab.

💡Repository

A repository in the context of software development, such as on GitHub, is a location where the complete code for a project is stored. It includes all files, folders, and the complete history of changes made to the code. In the video, selecting the 'Fast Stable Diffusion' repository is a step in the process of using Stable Diffusion in Google Colab.

💡Clone

To clone, in the context of version control systems like Git, means to create a copy of a repository. This action is often done to download the code to a local machine or to use it in another service like Google Colab. In the video, cloning the repository is a step toward setting up the Stable Diffusion model.

💡Prompt

In the context of AI image generation, a prompt is a textual description that guides the AI in creating an image. It is a crucial part of using models like Stable Diffusion, 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 AI image generation that specifies elements or characteristics that the user does not want to be included in the generated image. It helps refine the output by providing additional guidance to the AI. In the video, using a negative prompt is part of the image generation process.

💡Model

In machine learning, a model refers to the algorithmic representation of patterns in data, which can be used to make predictions or decisions. In the video, v2.1 is selected as the model for Stable Diffusion, which determines the specific version of the AI's algorithm used for image generation.

💡Beautiful Realistic Asians

This refers to a specific model or configuration used within Stable Diffusion that has gained popularity for its ability to generate highly realistic images of Asian faces. The video mentions this model as an example of how different models can significantly affect the quality and style of the generated images.

💡

💡Thumbnail

A thumbnail in digital media is a small, representative image that gives viewers a preview of the content. In the context of the video, the thumbnail is an image generated using the Stable Diffusion model, showcasing the potential output of the AI.

💡Subscribe

Subscribing to a channel, in the context of online platforms like YouTube, means signing up to receive updates and new content from that channel. The video ends with a call to action for viewers to subscribe, which is a common practice to grow the audience and engagement on such platforms.

Highlights

Demonstration of using Stable Diffusion with Google Colaboratory for beginners.

Step-by-step guide to access and use Stable Diffusion via GitHub and Google Colab.

Searching for Stable Diffusion on GitHub and selecting TheLastBen's repository.

Copying the HTTPS link from the code button on GitHub.

Opening Google Colaboratory and connecting it to GitHub.

Selecting the Fast Stable Diffusion repository from the provided URLs.

Saving a copy of the repository to Google Drive before proceeding.

Verifying user identity and granting access to Google Drive.

Installing necessary packages and requirements by executing cells.

Choosing the v2.1 model and initiating the Stable Diffusion process.

Waiting for the Stable Diffusion URL to generate an image.

Creating images using prompts and negative prompts in the Stable Diffusion interface.

Comparing the image quality using the default model versus other models.

Introduction of the Beautiful Realistic Asians model for enhanced realism.

Observing the dramatic improvement in facial realism with the Beautiful Realistic Asians model.

Mention of minor issues like strange fingers but overall high quality of generated images.

The ability to generate high-quality images instantly with Stable Diffusion.

Additional steps required to incorporate the Beautiful Realistic Asians model will be covered in the next video.

Encouragement for viewers to subscribe for more tutorials and updates.

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