Stable-Diffusion WebUI Colab 무료 티어 이용방법! (colab, 무료)
TLDRThe video script introduces viewers to the process of utilizing the free tier of CoreNLP for table and deduplication web UI without the need for a proxy. It guides beginners through the setup, including preparing a Google Drive account with ample space, selecting and installing the model, and connecting it to Google Drive. The tutorial also advises patience as there may be delays in the initial synchronization with Google Drive. It demonstrates how to run the web UI from Google Drive and use extensions for tasks such as image generation and facial recognition, highlighting the convenience and potential of CoreNLP for various applications.
Takeaways
- 📚 The video introduces how to use the free tier of Colab with Table, Diffusion, and Web UI for beginners.
- 💻 Ensure there is ample storage space in Google Drive before starting.
- 🔗 Access the Colab website and select the model and installation version.
- 🔧 The installation process for Colab with Diffusion Web UI is a one-time setup.
- 🔄 Choose the extensions to add during the installation process.
- ✅ Allow Google Drive connection when prompted for顺利 integration.
- ⏳ Wait for about 5 minutes for the installation to complete.
- 🔍 Check Google Drive for the installed Web UI, which should be accessible from there.
- 📂 Be patient as there might be a delay in file syncing between Colab and Google Drive initially.
- 🚀 Execute the Web UI from Google Drive by clicking the direct execution link.
- 🖼️ Use the installed environment to run models and generate images, such as with Stable Diffusion.
- 🛠️ Additional extensions can be uploaded or installed via the Web UI for enhanced functionality.
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 on the Colab free tier.
What do viewers need to prepare before starting the installation process?
-Viewers need to prepare a Google Drive account with ample space available.
Where should viewers go to begin the installation process for Stable Diffusion Web UI?
-Viewers should visit the Colab site to start the installation process.
How often does the installation process for the Web UI need to be completed?
-The installation process needs to be completed only once.
What should viewers do after selecting the model and the install version?
-After selecting the model and the install version, viewers should click to install and run it, allowing connection to Google Drive.
How long should viewers wait for the installation to complete?
-Viewers should wait about 5 minutes for the installation to complete.
What issue might viewers encounter after installing the Web UI?
-Viewers might encounter delays in Google Drive file synchronization after installing the Web UI.
How can viewers execute the Web UI after installation?
-Viewers can execute the Web UI by accessing the execution document link provided in the Colab install version and clicking the direct execution version.
What is a possible issue viewers might face when trying to access the Web UI after execution?
-Viewers might face issues with the browser's security policy, which could prevent the Web UI from being displayed immediately.
What are the final steps mentioned for using the Web UI?
-The final steps include using extensions such as one for adjusting faces, copying a prompt from the Web UI to create content, and performing a batch image generation with an expected duration of around 30 minutes.
Outlines
📚 Introduction to Using Colab for Free
This paragraph introduces viewers to the process of utilizing Google Colab's free tier for table and diffusion web AI. It acknowledges previous textual introductions and offers a guide tailored for beginners. The script emphasizes the importance of having ample storage on Google Drive and provides a step-by-step guide on selecting and installing the appropriate version of Colab. It also advises allowing Google Drive connection and waiting for the installation to complete, noting that there might be a delay in the initial setup with Colab's integration with Google Drive. The segment concludes by encouraging viewers to refresh the Google Drive home page to confirm the installation and proceed with running the web UI.
🖌️ Exploring Extensions and Practical Applications
The second paragraph delves into the customization options available within Colab, such as uploading extensions directly or installing them via the web UI. It guides users on restarting the runtime from the execution environment for a fresh start. The segment also demonstrates the use of an extension called 'Reactor,' which matches faces to images. The script then proceeds to show how to generate an image using the web UI, including copying prompts and creating high-resolution images that take approximately 30 minutes. Finally, it informs viewers that the generated images can be found in the Google Drive output folder, concluding the tutorial on using AI with Colab's free tier and suggesting that while there are other free environments available, Colab remains a convenient choice for newcomers.
Mindmap
Keywords
💡Newcomer
💡Google Drive
💡Stable Diffusion Web UI
💡Installation
💡Extensions
💡Proxy
💡Execution
💡Control Net Model
💡Image Generation
💡High Resolution
💡Google Drive Output Folder
💡Free Tier
Highlights
Introduction to using the free tier of Colab with Table, Diffusion, and Web UI for AI beginners.
Preparation of a Google Drive account with ample storage space.
Accessing the Colab website to select and install the model.
Details on selecting the version and choosing additional extensions.
Installation process that only needs to be done once.
Allowing Google Drive connection for the setup.
Waiting for approximately 5 minutes for the process to complete.
Confirmation that the Web UI is installed in Google Drive.
Note on potential delays with Colab's Google Drive file synchronization.
Execution of the Web UI directly from Google Drive post-installation.
Accessing the execution document link for detailed instructions.
Running the model without a proxy by clicking the execute version.
The execution environment is prepared, and the Web UI is launched.
Executing the model and observing the output in the browser.
Navigating to the output link in the browser to access the AI-generated content.
Utilizing extensions for additional functionalities like Reactor for facial matching.
Creating and generating images using the model and extensions.
Setting up image batches for long-duration image generation.
Accessing the generated images in the Google Drive output folder.
Comparing Colab with other free platforms like Cag and SageMaker.
Recommendation for beginners to use Colab for its ease of use and accessibility.