How to install Stable Diffusion WebUI Colab Alternative (free)

29 Sept 202308:12

TLDRThe video script provides a step-by-step guide on how to access a stable diffusion model with a user-friendly interface for free, with a daily usage quota. It explains the process of signing up with ngroc and SageMaker Studio, obtaining a GPU, and running a pre-prepared notebook with detailed instructions on installing requirements, downloading the base model, and running the stable diffusion model efficiently. The video emphasizes the convenience of this method over traditional platforms like Google Colab and offers additional tips on managing storage and virtual environments.


  • 🌐 Accessing stable diffusion models is made easier with the latest user interface, Automatic 1111.
  • ⏰ Users are allocated a 4-hour daily quota for using the service.
  • 📝 The process is more convenient than using Google Colab, with a straightforward sign-up and login procedure through the ngroc website.
  • 🔗 Signing up with a Google account is an option, and account creation is quick and easy.
  • 📱 To utilize GPU capabilities, users must provide their phone number for verification.
  • 💻 SageMaker Studio offers both CPU and GPU options, with the recommendation to optimize usage by tuning notebooks on CPU first.
  • 🔄 The provided notebook is pre-prepared and requires only the execution of three steps: installing requirements, downloading the base model, and running stable diffusion.
  • 🛠️ Users have the option to clean up virtual environments and manage storage to avoid errors.
  • 🚀 The video encourages viewers to watch it in its entirety for the full benefits and to support the content creator.
  • 💡 The method presented is deemed more reliable than previous methods and does not require the repeated installation of models and requirements.
  • 🔗 Additional resources, including notebooks for downloading specific models and controlnet models, are available on the creator's Patreon page.

Q & A

  • What is the daily quota for accessing the stable diffusion model?

    -The daily quota for accessing the stable diffusion model is 4 hours.

  • How does the user interface of the latest stable diffusion model compare to Google Colab?

    -The user interface of the latest stable diffusion model is described as being more convenient than Google Colab.

  • What is the first step to access the stable diffusion model?

    -The first step is to sign up or log in to the ngroc website using a Google account.

  • How long does it typically take to receive the link for creating a new account on SageMaker Studio?

    -It can take about one day to receive the link for creating a new account, although in some cases it may only take a minute.

  • What is the purpose of specifying your phone number when using GPU on SageMaker Studio?

    -Specifying your phone number is required to gain access to the GPU on SageMaker Studio.

  • How long are the CPU and GPU hours for SageMaker Studio?

    -SageMaker Studio provides eight hours for CPU and four hours for GPU.

  • What is the advantage of using CPU hours for tuning your notebook?

    -Using CPU hours for tuning your notebook is recommended as it can be done easily without spending valuable GPU time.

  • How often do you need to install requirements when using the stable diffusion model?

    -Requirements only need to be installed once because all your files are constantly saved in your Amazon storage.

  • How many models can you download in this case with Amazon SageMaker?

    -You can download up to five models, but you are restricted with available storage on Amazon SageMaker.

  • What should you do if you need to clean up space for your model on Amazon SageMaker?

    -You can delete your existing models by navigating to the 'models' folder and removing the ones you no longer need.

  • How can you support the video creator and their channel?

    -The best way to support the video creator is by watching the video until the end, liking the video, and leaving a comment.



🚀 Accessing Stable Diffusion Models with Automatic 1111

This paragraph outlines the process of accessing stable diffusion models using the latest Automatic 1111 user interface. It emphasizes the ease of use and convenience compared to Google Colab, with a daily usage quota of 4 hours. The user is guided through signing up or logging into the ngroc website, creating an account with a Google account, and following steps to access the SageMaker Studio app. The paragraph highlights the importance of careful usage to avoid destroying the virtual environment and stresses the need to watch the video to the end for full understanding. The process of accessing a GPU for use with the platform is also detailed, including the need to provide a phone number for verification.


📚 Detailed Guide on Using SageMaker Studio and Stable Diffusion

The second paragraph provides a detailed guide on using the SageMaker Studio app and running the Stable Diffusion model. It explains the allocation of 8 hours for CPU and 4 hours for GPU usage, and recommends using CPU hours for tuning the notebook to conserve GPU time. The paragraph introduces a pre-prepared notebook for the user and guides through selecting GPU runtime and dealing with potential unavailability of GPU. The user is then walked through accessing Jupiter Lab, which is similar to Kaggle or Google Colab, and is instructed on how to open the provided notebook. The paragraph also explains the process of installing requirements, downloading the base model, and running Stable Diffusion, highlighting the convenience of not needing to repeat these steps each time. Additionally, the paragraph provides tips on managing storage, cleaning up virtual environments, checking available storage, and deleting models. The importance of stopping the runtime after completing work is emphasized. The paragraph concludes with information on downloading additional models and the availability of extended features and support through Patreon.



💡Stable Diffusion

Stable Diffusion is a term used in the context of machine learning and artificial intelligence, referring to a specific model that generates images from textual descriptions. In the video, it is the core technology that users are guided to access and utilize, with the main theme being the process of setting up and using this model efficiently.


Interface, in this context, refers to the user-friendly medium through which users interact with the Stable Diffusion model. The video emphasizes the ease of use and convenience of the latest user interface, comparing it favorably to other platforms like Google Colab.

💡Automatic 1111

Automatic 1111 seems to be a version or a specific implementation of an interface for accessing the Stable Diffusion model. The video script suggests that this version offers a free access with certain usage limitations, such as a 4-hour daily quota, and is presented as an attractive option for users.

💡Usage Quota

Usage quota refers to the limit set on the resources or time a user can utilize a service within a specific period. In the video, the quota is mentioned as 4 hours per day for GPU usage, which is a measure to manage and allocate resources efficiently among users.


Ngrok is a service that creates a secure tunnel to expose local development servers to the internet. In the context of the video, it is used to establish a connection between the user's local environment and the Stable Diffusion model hosted on a cloud platform.

💡SageMaker Studio

SageMaker Studio is an integrated development environment (IDE) for machine learning provided by Amazon Web Services (AWS). It is mentioned in the video as a platform where users can create accounts, access GPU resources, and work with the Stable Diffusion model.


GPU stands for Graphics Processing Unit, a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. In the video, GPU is an essential resource for running the Stable Diffusion model, providing the computational power needed for image generation tasks.

💡Jupyter Lab

Jupyter Lab is an open-source, web-based interactive development environment for notebooks, code, and data. In the video, it is the interface that users interact with once they access the SageMaker Studio app, where they can run the Stable Diffusion model and manage their code and data.

💡Virtual Environment

A virtual environment is a isolated space within a user's computer system that contains a specific set of software configurations and dependencies. In the context of the video, it is emphasized that the virtual environment is maintained and preserved, so users do not need to reinstall requirements every time they use the service.


Patreon is a platform that allows creators to earn a monthly income by providing exclusive rewards and content to their subscribers, or 'patrons'. In the video, the creator mentions Patreon as a platform where they offer additional resources, such as an ultimate version of their notebook and other extensions, for users who support their channel.


In the context of the video, maintenance refers to the actions taken to manage and optimize the computing resources and environment after the completion of the work. This includes cleaning up virtual environments, checking storage, and removing unnecessary files or models to free up space.


Accessing stable diffusion models with a user-friendly interface for free, with a 4-hour daily quota.

Convenience of use compared to Google Colab, without following a complex setup process.

Sign up or log in to ngroc using a Google account for ease of access.

Creating a new account on SageMaker Studio by requesting and providing necessary information.

Quick account setup, sometimes taking only a minute to receive the confirmation email.

Access to GPU resources by specifying phone number after email verification.

Careful use of resources to avoid destroying the notebook or virtual environment.

Availability of 8 hours of CPU time and 4 hours of GPU time on SageMaker Studio.

Optimization of notebook setup by using CPU hours for tuning to save GPU time.

Preparation of a ready-to-use notebook for the viewers for seamless experience.

Access to Jupiter Lab, which is similar to Kaggle or Google Colab, through SageMaker Studio.

Instructions on how to upload and use the provided notebook in the SageMaker environment.

Explanation of the three-step process in the notebook: requirements, downloading the base model, and running stable diffusion.

Advantage of not needing to install requirements or download models every time due to Amazon storage.

Demonstration of installing necessary requirements for the notebook, which takes about three minutes.

Guidance on how to download the base model (RV5) and the storage limitations on Amazon SageMaker.

Running Stable Diffusion with the provided ngroc token and the addition of xformer for faster image generation.

Instructions on how to access the latest Automatic 1111 user interface with the RV5 model through a provided URL.

Emphasis on watching the video till the end for better understanding and promotion of the content.

Details on how to clean up virtual environments, check storage, and manage models within SageMaker Studio.

Information on downloading additional models like LoRA and controlnet models, and their availability on Patreon.

Comparison of the method's convenience to Google Colab, with the advantage of not needing to reinstall models and requirements.

Invitation for feedback on the video's helpfulness and an encouragement to engage with the content.