Uncover the Ideal Choice for Stable Diffusion in COLAB: Free or Paid?

Table of Contents

1. Introduction
2. Using a Stable Diffuser without a Powerful GPU
   • 2.1 Free Options for Stable Diffusion
     • 2.1.1 Using Automatic 1111 in Google Colab
     • 2.1.2 Very Nice UI for Stable Diffusion Invoke
     • 2.1.3 SageMaker StudioLab
     • 2.1.4 Kaggle.com
     • 2.1.5 InvokeAI
   • 2.2 Colab Pro Subscription
     • 2.2.1 What Does a Colab Pro Subscription Mean?
     • 2.2.2 Benefits of Colab Pro Subscription
3. How Many Computational Units Do You Get for $10?
4. How to Use Colab Pro Subscription for Stable Diffusion
   • 4.1 Accessing the Colab Notebook
   • 4.2 Installing Requirements and Providing Model Link
   • 4.3 Running Stable Diffusion
   • 4.4 Following the Gradio Link
5. SageMaker StudioLab for Stable Diffusion
   • 5.1 Four Hours per Day Limitation
   • 5.2 Installation Problems and GPU Availability
6. Automatic 11.11 in Kaggle.com
   • 6.1 Free 30 GPU Hours per Week
   • 6.2 Solution Availability through Patreon
7. Using InvokeAI for Free in Colab
   • 7.1 Method Overview
   • 7.2 Detailed Steps
8. The Value of InvokeAI as a Competitor to Automatic 11.11
9. Conclusion

Using a Stable Diffuser without a Powerful GPU

In this article, we will explore various ways to use a stable diffuser without a powerful GPU. This is a popular topic among many users, as not everyone has access to high-performance GPUs for their machine learning and art generation projects. We will discuss both free and subscription-Based options, along with their pros and cons. So, let's dive in!

1. Introduction

Hello everyone, and welcome back to my Channel! Today, we will be discussing the most popular topic that many of you have been requesting - how to use a stable diffuser without a powerful GPU, preferably for free and with automatic 1111. I have received numerous requests for videos on this topic, and it seems that this is what you are most interested in. However, I would like to mention that my previous video about samplers and how they work did not gain much popularity. But let's not dwell on that and move on to today's topics.

2. Using a Stable Diffuser without a Powerful GPU

2.1 Free Options for Stable Diffusion

If you are looking for free options to use a stable diffuser, there are a few methods that you can consider. Let's take a look at each of them in Detail.

2.1.1 Using Automatic 1111 in Google Colab

Using automatic 1111 in Google Colab is one of the most common methods for utilizing a stable diffuser without a powerful GPU. However, it is important to note that all possible methods for automatic 1111 are currently banned, except for Colab Pro subscription users. But don't worry, I have something special for those of you who prefer free software. I have fixed the 'Very nice UI for stable diffusion Invoke' and it is still available in Google Colab. You can support my channel by watching the video until the end, where I will provide the link to the Colab Notebook.

2.1.2 Very Nice UI for Stable Diffusion Invoke

Another free option for using a stable diffuser is the 'Very nice UI for stable diffusion Invoke'. This method is straightforward and does not have any limitations. You can access it by opening the provided link, installing the requirements, configuring your YAML file, or downloading any model through the provided link. If you encountered any issues with the previous method, I recommend trying this one.

2.1.3 SageMaker StudioLab

SageMaker StudioLab is a method that allows you to use stable diffusion for free with minimal limitations. It offers four hours per day, which is quite appealing for those who want to experiment with stable diffusion. I have already made a video about it, so you can watch it for more in-depth information. However, it is worth mentioning that due to the increased popularity of this method, there might be some waiting involved to access a GPU. But don't worry, in my experience, the waiting time is not too long.

2.1.4 Kaggle.com

Kaggle.com also provides an option for automatic 1111 with insane free 30 GPU hours per week. However, Kaggle bans all solutions for stable diffusion, including my solution. Nevertheless, I have created a new notebook that still works perfectly and allows you to access automatic 1111 in Kaggle. You can find the link to the notebook on my Patreon page.

2.1.5 InvokeAI

If you prefer to use Colab for free and don't want to purchase anything, InvokeAI is a great solution. Although it may have encountered some issues in the past, I have fixed them, and you can Continue using it for free without any limitations. This method is also straightforward, just like the previous one. You can open the provided link, install the requirements, configure your YAML file, or download any model through the link. For more detailed information, refer to my previous video or follow the steps outlined in Step 3.

2.2 Colab Pro Subscription

If you are willing to invest in a Colab Pro subscription, there are additional benefits that you can enjoy. Let's explore what a Colab Pro subscription actually means and the advantages it offers.

2.2.1 What Does a Colab Pro Subscription Mean?

A Colab Pro subscription provides you with access to additional features and resources for a monthly fee. It is important to understand what you are paying for before making a decision.

2.2.2 Benefits of Colab Pro Subscription

With a Colab Pro subscription, you not only get 500 compute units per month but also an additional 400 units that expire in 90 days. This means that even if you stop your subscription after one month, you will still have nearly 1000 compute units for 90 days. This translates to approximately 450 hours of using stable diffusion, all for $50. Additionally, a Colab Pro subscription allows you to use more powerful GPUs for training, run multiple Sessions, and even continue background execution with a closed browser. However, if you are unsure about investing in a Colab Pro subscription, I recommend starting with the $10 tier to experience the computational hours you can get before making a decision. Now, let's move on to how to use a Colab Pro subscription for stable diffusion.

3. How Many Computational Units Do You Get for $10?

The number of computational units you get for $10 may vary depending on your usage and preferences. It is difficult to provide an exact number as it depends on factors such as the GPU you are using and the complexity of your art generation tasks. However, as a rough estimate, with a basic Tesla T4, 100 compute units equate to about 50 hours of using automatic 1111.

4. How to Use Colab Pro Subscription for Stable Diffusion

Using a Colab Pro subscription for stable diffusion is quite straightforward. Let's go through the steps involved in accessing the Colab Notebook and running stable diffusion.

4.1 Accessing the Colab Notebook

To access the Colab Notebook, check the link provided below the video or in the description.

4.2 Installing Requirements and Providing Model Link

Once you have opened the Colab Notebook, run the first cell to install the necessary requirements. Then, provide your link to download your model in step 2.1.

4.3 Running Stable Diffusion

In step 3, you can proceed to run stable diffusion. The notebook will guide you through the process, ensuring a smooth and efficient experience.

4.4 Following the Gradio Link

To further enhance your stable diffusion results, you can follow the Gradio link provided. Gradio is a user-friendly UI library that simplifies the interaction with stable diffusion, allowing you to explore various parameters and Visualize the generated art.

By following these steps, you will be able to use stable diffusion effectively with your Colab Pro subscription.

5. SageMaker StudioLab for Stable Diffusion

SageMaker StudioLab is another option that you can consider for stable diffusion. Let's take a closer look at what SageMaker StudioLab offers and its limitations.

5.1 Four Hours per Day Limitation

SageMaker StudioLab provides users with four hours of usage per day. While this might seem limiting compared to a Colab Pro subscription, it is still a generous offering for those who want to experiment with stable diffusion.

5.2 Installation Problems and GPU Availability

Some users have encountered installation problems when using SageMaker StudioLab, and GPU availability can also be a challenge due to increased demand. However, most of these issues have been resolved or explained in my video on this topic. So, if you decide to go with SageMaker StudioLab, make sure to refer to the video for troubleshooting and ensure a smooth experience.

6. Automatic 11.11 in Kaggle.com

Kaggle.com provides an enticing offer of free 30 GPU hours per week, which is a significant amount of computational power. However, it is essential to note that Kaggle bans all solutions for stable diffusion, including my solution. Nevertheless, I have created a new notebook that can still be accessed on my Patreon page.

6.1 Free 30 GPU Hours per Week

Kaggle.com offers 30 GPU hours per week for free. This can be a valuable resource for those who need a powerful GPU for their stable diffusion projects.

6.2 Solution Availability through Patreon

To access my solution for automatic 11.11 in Kaggle.com, you can visit my Patreon page and find the link to the notebook. Unfortunately, due to monitoring and blocking measures, it is challenging to share this solution directly on YouTube. But I appreciate your support on Patreon, and by joining, you will gain access to this valuable resource.

7. Using InvokeAI for Free in Colab

For those who prefer to use Colab for free and do not wish to invest in a subscription, InvokeAI is an excellent alternative. Let's explore how to use InvokeAI for stable diffusion in Colab.

7.1 Method Overview

InvokeAI is a tool that allows you to use stable diffusion for free in Colab. It offers a straightforward process and does not impose any limitations on your usage.

7.2 Detailed Steps

To use InvokeAI, simply follow the steps outlined in the video or find detailed instructions in my previous video on this topic. You can open the provided link, install the requirements, configure your YAML file, or download any model through the link. InvokeAI is a strong competitor to automatic 11.11 and offers a valuable alternative for stable diffusion.

8. The Value of InvokeAI as a Competitor to Automatic 11.11

InvokeAI is a powerful tool and a strong competitor to automatic 11.11. It offers similar functionality and convenience, making it a worthy option to consider. I highly recommend exploring what InvokeAI has to offer, especially since it is free to use in Colab.

9. Conclusion

In conclusion, there are several options available for using a stable diffuser without a powerful GPU. Whether you choose the free options or decide to invest in a Colab Pro subscription, there are solutions that cater to your needs. We have discussed the various methods, their pros and cons, and provided step-by-step instructions for each. Remember to explore the additional resources and videos available to maximize your stable diffusion experience. Thank you for watching and supporting my channel! Don't forget to like this video and leave your comments.