Unlock Stable Diffusion for Free: Colab and Automatic Kaggle Notebook Update

Unlock Stable Diffusion for Free: Colab and Automatic Kaggle Notebook Update

Table of Contents:

1. Introduction
2. What happened to Stable Diffusion in Google Colab?
3. Alternatives to Stable Diffusion in Google Colab 3.1 Kaggle 3.2 ComfyUI 3.3 SwarmUI 3.4 Hugin Face Spaces 3.5 ClipDrop from StabilityAI
4. How to use Stable Diffusion on Kaggle 4.1 Creating a Kaggle account 4.2 Setting up phone verification 4.3 Accessing free GPU on Kaggle 4.4 Importing the Stable Diffusion notebook 4.5 Using the Stable Diffusion notebook on Kaggle
5. Conclusion

What Happened to Stable Diffusion in Google Colab?

Google Colab has made changes regarding its use of Stable Diffusion, particularly with the popular interface Automatic1111. While not much has changed for Stable Diffusion itself, Google has officially banned the use of Automatic1111 in Colab. This means that when running a notebook, it disconnects after 5 minutes. However, it is still possible to work with Stable Diffusion in different interfaces, which will be discussed in this article.

Alternatives to Stable Diffusion in Google Colab

3.1 Kaggle

One alternative to using Stable Diffusion in Google Colab is Kaggle. While Automatic1111 was banned on Colab, it is still available for free on Kaggle, making it a viable option for running Stable Diffusion. However, it's important to note that this solution may not Scale well and could potentially be banned if it becomes widespread.

3.2 ComfyUI

For those who prefer simpler setups and interfaces, ComfyUI is another option to consider. It offers a user-friendly interface for running Stable Diffusion and is suitable for basic use cases. More information on how to use ComfyUI can be found in a tutorial video with a link in the description.

3.3 SwarmUI

SwarmUI is another alternative that works well for basic user cases. It provides a seamless experience for running Stable Diffusion without the need for complex setups or coding knowledge. A tutorial video and link for SwarmUI can be found in the description below.

3.4 Hugin Face Spaces

While not perfect, Hugin Face Spaces can also be considered as an alternative for occasional solutions. It may not offer the same level of convenience as other interfaces, but it can still serve its purpose in certain scenarios.

3.5 Clipdrop from StabilityAI

Lastly, StabilityAI offers an alternative called ClipDrop, which provides a different approach to stable diffusion. It is worth exploring if You are looking for further options to run Stable Diffusion outside of Google Colab.

How to Use Stable Diffusion on Kaggle

4.1 Creating a Kaggle account

To use Stable Diffusion on Kaggle, you first need to Create a Kaggle account. You can easily register and authorize using your Google account.

4.2 Setting up phone verification

After creating your account, you will need to complete phone verification in order to gain access to free GPU resources on Kaggle.

4.3 Accessing free GPU on Kaggle

Once you have completed phone verification, you will have access to free GPU resources on Kaggle. This will allow you to run Stable Diffusion without limitations for up to 30 hours a week.

4.4 Importing the Stable Diffusion notebook

To use Stable Diffusion on Kaggle, you need to import the provided notebook. Simply navigate to the "File" menu and choose "Import notebook". Browse for the notebook file linked on the Patreon page and click "Import".

4.5 Using the Stable Diffusion notebook on Kaggle

Using the Stable Diffusion notebook on Kaggle is straightforward and does not require any coding knowledge. The notebook provides step-by-step instructions for installing requirements, downloading models, and running Stable Diffusion. Even for those unfamiliar with coding, the notebook's interface is user-friendly, making it easy to follow along.

Conclusion

While the use of Stable Diffusion with Automatic1111 has been banned in Google Colab, there are still alternatives available. Kaggle, ComfyUI, SwarmUI, Hugin Face Spaces, and ClipDrop are some of the options that can be explored for running Stable Diffusion. Each alternative has its own advantages and limitations, allowing users to choose the one that best suits their needs. By following the instructions provided, users can Continue to utilize Stable Diffusion for their machine learning projects.