Google Colab Stable Diffusion | Stable Diffusion Ai Tutorial

Planet Ai
22 Oct 202304:22

TLDRThis tutorial video guides viewers on how to utilize Google Colab for stable diffusion AI without the need for high-end computing resources. The presenter shares a free Google Colab notebook, which allows users to install their preferred models. The process involves selecting a T4 GPU, running code cells, and installing models from sources like CVI. The video demonstrates how to generate images using a prompt, offers options for negative prompts and image settings, and introduces an upscaling feature. The presenter also invites viewers to join their WhatsApp community for more updates.


  • 🚀 Use Google Colab for free access to Stable Diffusion without needing a high-end CPU.
  • 💡 Go to the runtime in Google Colab and select T4 GPU to connect to the GPU.
  • ⏱️ Be patient as the code execution in the first cell can take 3 to 4 minutes.
  • 📚 Before starting the second step, click on the provided blue link to see available Stable Diffusion models.
  • 🔄 If you want to install a different version of Stable Diffusion, change the 'for' parameter to 'true'.
  • 📝 You can also install desired models from CVI by providing the model link in the notebook.
  • 🔗 After running the second cell, you'll get an Invoke AI link to start using Stable Diffusion.
  • 🖼️ Enter your prompt and select options like negative prompt, number of images, and steps to generate an image.
  • 📚 Use the Model Manager to add new models by pasting the model link and selecting 'Add Model'.
  • 🎨 For hyper-realistic images, select the 'epic photog gasm' model in the 'Text to Image' section.
  • ⬆️ If you want to upscale your generated image, use the 'upscale' button and choose an upscaling model.
  • 📥 To download the final image, click on it and select 'Download Image'.

Q & A

  • What is the main purpose of the video?

    -The main purpose of the video is to guide viewers on how to use stable diffusion for free without investing in high-end CPU through a Google Colab notebook.

  • What is the first step to use the Google Colab notebook for stable diffusion?

    -The first step is to go to the runtime, select 'change run time', and ensure that the T4 GPU is selected instead of the default CPU, then save and connect to the GPU.

  • How long does it typically take for the code in the first cell to execute?

    -It typically takes 3 to 4 minutes for the code in the first cell to execute.

  • What is the default stable diffusion model selected in the notebook?

    -The default stable diffusion model selected in the notebook is the Stable Diffusion Vision realistic version 5.

  • How can users install other versions of stable diffusion models?

    -Users can install other versions by replacing the 'for' value with 'true' in the code and selecting the desired model.

  • What does the 'invoke AI link' provide?

    -The 'invoke AI link' provides an interface where users can enter prompts, select negative prompts, choose the number of images, steps, and view a list of installed models.

  • How can users add their desired models from the CVI?

    -Users can click on the 'model manager', go to 'import model', paste the link of the desired model from the CVI, and then select 'add model' to install it.

  • What is the process to generate an image using a prompt?

    -To generate an image, users should enter a prompt in the 'text to image' section, select the desired model, and then click 'invoke to generate the image'.

  • Is there an option to upscale the generated image?

    -Yes, there is an option to upscale the image. Users can go to the 'upscale' button, select the desired upscaling model, and click 'upscale image'.

  • How can users download the generated image?

    -To download the image, users can click on the image and select 'download image'.

  • What additional options are available for image generation that were not covered in the video?

    -Additional options include selecting seed values, the number of images, the number of steps, and the canvas option, which is not shown in the video due to time constraints.

  • How can viewers join the creator's WhatsApp community?

    -Viewers can join the creator's WhatsApp community by clicking on the link provided in the video description.



🚀 Introduction to Using Stable Diffusion with Google Colab

The video begins by addressing the audience's potential lack of high-end computer specifications and introduces a free Google Colab notebook for utilizing stable diffusion. The speaker credits an individual for sharing the notebook and guides viewers on how to select the T4 GPU in the runtime settings and connect it to their GPU. The process is straightforward but requires attention to detail to avoid ads. The video promises a step-by-step guide to execute the code within the notebook, which may take a few minutes, and allows users to install their preferred models.



💡Stable Diffusion

Stable Diffusion is a term referring to a type of artificial intelligence model designed for generating images from textual descriptions. It is part of the broader field of generative models in machine learning. In the context of the video, Stable Diffusion is used to create images without the need for high-end computer specifications, leveraging Google Colab's cloud computing resources.

💡Google Colab

Google Colab is a cloud-based platform offered by Google that allows users to write and execute Python code in a virtual environment. It is particularly useful for machine learning and data analysis projects. In the video, Google Colab is used to run the Stable Diffusion model without requiring a high-end CPU on the user's local machine.


T4 GPU refers to the Tesla T4, a graphics processing unit (GPU) developed by Nvidia. It is designed to provide high-performance computing for tasks such as machine learning and data analysis. In the video, the T4 GPU is selected in Google Colab to provide the necessary computational power for running the Stable Diffusion model.


In computing, the runtime refers to the environment in which a program is executed. In the context of the video, changing the runtime in Google Colab to select the T4 GPU ensures that the Stable Diffusion model runs with the appropriate hardware acceleration for efficient image generation.

💡Invoke AI

Invoke AI is a user interface or platform mentioned in the video that allows users to interact with the Stable Diffusion model. It provides a way to input prompts and generate images based on those prompts. The script mentions an 'Invoke AI link' which is presumably a web address or interface where users can access the Stable Diffusion functionality.


In the context of generative AI models like Stable Diffusion, a prompt is a textual description or command that guides the model to generate a specific type of image. For example, in the video, a prompt like 'a beautiful lady with freckles in a coffee shop' would instruct the model to create an image that matches this description.

💡Negative Prompt

A negative prompt is a feature in generative AI models that allows users to specify elements or characteristics that they do not want to appear in the generated image. It helps refine the output by providing additional instructions to the model. In the video, the option for a negative prompt is mentioned as a feature within the Invoke AI interface.

💡Model Manager

The Model Manager is a tool or section within the Invoke AI interface that allows users to manage and organize the different Stable Diffusion models they have installed or wish to use. It is mentioned in the video as a way to import and add new models to the user's Google Colab notebook.


CVI likely refers to a source or platform where various Stable Diffusion models can be found and downloaded. In the video, the speaker mentions going to the CVI to find and install a 'very realistic model' for the Stable Diffusion, indicating that it is a repository or marketplace for AI models.


Upscaling in the context of image processing refers to the enhancement of an image's resolution to make it larger and more detailed. In the video, upscaling is mentioned as a feature that allows users to improve the quality of their generated images using a model like 'Real-ESRGAN 4x Plus'.

💡WhatsApp Channel

A WhatsApp Channel is a broadcast platform within the WhatsApp application where users can subscribe to receive updates, news, or other content from the channel owner. In the video, the speaker invites viewers to join their WhatsApp Channel to share in the latest and interesting content, indicating a community or group focused on similar topics.


The video provides a free Google Colab notebook for using Stable Diffusion AI without needing a high-end CPU.

The process involves changing the runtime to T4 GPU in Google Colab to utilize GPU capabilities.

Users can install their desired Stable Diffusion models directly within the Google Colab notebook.

The tutorial demonstrates how to execute code cells in sequence to set up the Stable Diffusion environment.

The Stable Diffusion models can be selected and installed from a provided link, with Stable Vision realistic version 5 as the default.

The video shows how to replace the default model with another version, such as Stable Diffusion version 5, by modifying the code.

Users can also install models from the CVI (CV-Interface) by following the steps shown in the video.

The tutorial guides viewers on how to run the second cell and耐心等待 (wait patiently) for the process to complete, which may take a few minutes.

After the second step, viewers are shown how to run the third cell and wait for the Invoke AI link.

The Invoke AI interface allows users to enter prompts and select options for generating Stable Diffusion images.

The video introduces the model manager feature for adding new models to the Invoke AI interface.

Viewers are shown how to copy a model link from the CVI and add it to Invoke AI for installation.

The tutorial demonstrates generating an image using a prompt, such as 'a beautiful lady with freckles in a coffee shop'.

The Invoke AI interface provides options for negative prompts, number of images, and number of steps for image generation.

The video shows how to upscale the generated image using an upscaling model like Real-ESRGAN 4x Plus.

Users are given instructions on how to download the generated or upscaled image from the Invoke AI interface.

The video offers additional options like seed values and canvas settings, which are not covered due to video length constraints.

The tutorial concludes by encouraging viewers to join the creator's WhatsApp community for more updates and cool stuff.