Stable-Diffusion WebUI Colab 무료 티어 이용방법! (colab, 무료)

뉴럴닌자 - AI공부
3 Jan 202409:36

TLDRThe video script introduces a method for using the free tier of CoreNLP with Table, Diffusion, and Web UI on Google Drive. It guides beginners through the setup process, including selecting a model, installing extensions, and executing the Web UI. The script emphasizes the importance of having sufficient Google Drive space and patience for the initial setup, as there may be delays in file synchronization. It also demonstrates how to run the Web UI, upload images, and generate high-resolution images using the installed extensions. The video concludes by suggesting that, despite other free platforms, CoreNLP remains a convenient choice for newcomers.

Takeaways

  • 📚 The video introduces using the free tier of Colab with Table, Diffusion, and Web UI for beginners.
  • 💻 Ensure there is ample storage space in your Google Drive account before starting.
  • 🔗 Access the Colab website and select the model and installation version.
  • 🔧 The installation process for Colab with Table, Diffusion, and Web UI on Google Drive is a one-time setup.
  • 🔍 Choose the version and select additional extensions to install.
  • 📶 Allow Google Drive connection during the installation process.
  • ⏳ Wait for about 5 minutes for the installation to complete.
  • 🔄 Be patient as there might be a delay in the initial synchronization between Colab and Google Drive files.
  • 🖥️ Execute the Web UI from Google Drive by accessing the execution document link.
  • 🎨 Use extensions for additional functionalities, such as image generation and editing.
  • ⏱️ The video demonstrates creating and generating images with the setup, which can take around 30 minutes.
  • 📂 The generated images can be found in the Google Drive output folder.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is how to use the Stable Diffusion Web UI with a free tier on Colab.

  • What is the first step in preparing for the Stable Diffusion setup?

    -The first step is to prepare a Google Drive account with ample storage space.

  • How often is the installation process for Stable Diffusion on Google Drive required?

    -The installation process is required only once.

  • What should users do if they encounter a delay in the Colab to Google Drive file integration?

    -Users should allow some time and patience after the initial setup before executing operations.

  • How long does it typically take for the Web UI to be installed on Google Drive?

    -It typically takes about 5 minutes for the Web UI to be installed on Google Drive.

  • What happens after the Web UI installation is completed?

    -After the installation, users can execute the Web UI from Google Drive, and it will be visible there.

  • What is the purpose of the execution link provided at the bottom of the Colab site?

    -The execution link allows users to run the Stable Diffusion Web UI directly from the Colab site.

  • What is the role of the ControlNet model in the video?

    -The ControlNet model is used if needed; users can check the box on the right to utilize it.

  • How can users add extensions to the Stable Diffusion Web UI?

    -Users can add extensions either by directly uploading them or by installing them through the Web UI.

  • What is the expected time to generate high-resolution images using the Stable Diffusion Web UI?

    -The expected time to generate high-resolution images is approximately 30 minutes.

  • Where can users find the generated images after using the Stable Diffusion Web UI?

    -The generated images can be found in the Output folder on Google Drive.

  • What is the recommendation for beginners regarding free platforms for AI usage?

    -For beginners, Colab is recommended as it is more convenient compared to other free platforms like Kagi or Seajima Maker.

Outlines

00:00

📖 Introduction to Using Colab for Free

This paragraph introduces viewers to the process of utilizing Colab's free tier for web-based machine learning tasks. It emphasizes the importance of having sufficient storage on Google Drive and provides a step-by-step guide on selecting and installing the appropriate version of Colab. The paragraph also mentions the installation of extensions and the linking of Google Drive for ease of use. Additionally, it advises patience as there may be delays in the initial setup and synchronization with Google Drive files.

05:05

🚀 Advanced Usage and Extensions

The second paragraph delves into the advanced usage of Colab, including the installation of extensions for enhanced functionality. It discusses the option to install extensions manually or through the web UI and the process of restarting the runtime for a fresh start. The paragraph also highlights the use of a specific extension that aligns facial features with an image, demonstrating its application in creating high-resolution images. The summary emphasizes the practical application of Colab for various tasks and suggests that while there are other free platforms available, Colab remains a convenient choice for beginners.

Mindmap

Keywords

💡Newcomer

The term 'newcomer' refers to someone who is new to a particular field or activity. In the context of the video, it is used to describe beginners who are just starting to explore and learn about using the free tier of Colab with Table, Diffusion, and Web UI for AI applications.

💡Colab

Colab, short for Google Colaboratory, is a free cloud service offered by Google that allows users to run Python code in their browser, using Google's resources. It is a popular platform for machine learning and data analysis, and the video provides instructions on how to utilize Colab's free tier for AI projects.

💡Table

In the context of the video, 'Table' likely refers to a specific model or tool used within the Colab environment for AI applications. It could be a part of the user interface or a component that helps in organizing and displaying data.

💡Diffusion

Diffusion, in the context of AI and machine learning, often refers to a type of algorithm or model that helps in generating or transforming data, such as images or text. The video might be discussing the use of a Diffusion model within the Colab environment to create AI outputs.

💡Web UI

Web UI stands for Web User Interface, which is the visual and interactive part of a software application that users see and interact with. In the video, it likely refers to the interface of the Colab environment and the tools installed within it, which users interact with to run their AI models.

💡Google Drive

Google Drive is a cloud storage service provided by Google where users can store, share, and collaborate on files and folders. In the video, it is used as a storage solution for the AI models and outputs generated using Colab.

💡Extensions

Extensions in the context of software and web applications are add-on features or tools that enhance the functionality of the base application. In the video, extensions are additional components that users can install on Colab to improve their AI projects.

💡Proxy

A proxy is a server or service that acts as an intermediary for requests from clients seeking resources from other servers. In the context of the video, it may refer to a setting or feature within the Colab environment or the Web UI that allows for indirect access to certain functionalities or data.

💡Execution

Execution in computing refers to the process of running a program or a set of instructions. In the video, execution is the act of running the AI models and tools installed on Colab to generate the desired outputs.

💡High Resolution

High resolution refers to a high level of detail in an image or video. In the context of AI-generated images, high resolution means that the images produced will have more pixels and therefore more clarity and detail.

💡Output Folder

An output folder is a designated location where the results or outputs of a process are saved. In the video, the output folder refers to the location on Google Drive where the AI-generated images and other results are stored for easy access and review.

Highlights

Introduction to using the free tier of Colab with Table, Diffusion, and Web UI for beginners.

Preparation of a Google Drive account with ample storage space is recommended.

Access to the Colab website to select and install the model.

The installation process for the Stable Diffusion Web UI on Google Drive is a one-time setup.

Selection of extensions to be added alongside the Stable Diffusion Web UI during installation.

Allowing Google Drive connection for the successful setup.

Waiting for approximately 5 minutes for the completion of the installation.

Confirmation of the Web UI installation in Google Drive and its accessibility.

Note on potential delays in Colab's Google Drive file synchronization and the suggestion to be patient after initial setup.

Execution of the Web UI from Google Drive and accessing the run documentation link.

Direct execution of the Stable Diffusion Web UI without a proxy.

The necessity of a control model and how to check and execute it.

Demonstration of the Stable Diffusion Web UI execution and its initial setup.

The possibility of uploading images directly or installing web UI extensions.

Restarting the Stable Diffusion Web UI after termination by re-executing from the environment.

Utilization of additional installed extensions, such as Reactor, for facial image matching.

Creation of an image using the model and a prompt, followed by generating high-resolution images in a batch.

Completion of the image generation process and location of the output folder in Google Drive.

Conclusion summarizing the ease of using Colab's free tier for beginners compared to other free environments.

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