2024! Stable Diffusion in Colab Notebook for FREE with no disconnects. FREE Midjourney alternative.

marat_ai
6 Feb 202406:36

TLDRDiscover a new method to utilize Stable Diffusion for free in Google Colab Notebook without the need for a powerful GPU or a paid subscription. The creator has developed a simple notebook that adheres to Google's policies, ensuring it won't be banned. Choose between two models, SDXL and SD XL with refiner, and enjoy generating detailed images with the refiner feature. The interface is straightforward, allowing users to input prompts, select styles, and adjust settings for image generation. Despite some limitations, this notebook is perfect for basic usage and offers a stable experience.

Takeaways

  • 🌐 The video discusses a method to use Stable Diffusion for free in Google Colab Notebook without needing a powerful GPU or paying for a subscription.
  • 🚫 The creator has made several Google Colab notebooks, but most have been banned for violating Google's policies.
  • 🎉 A new simple notebook has been created for basic Stable Diffusion usage that doesn't violate any Google policies and should work without being banned.
  • 🔗 Viewers are provided with a link to open a Colab notebook with Python 3 and T4 GPU as the selected environment.
  • 📈 Two model options are presented: 'sdxl' and 'ISD XL with refiner', with the latter offering more detailed image generation but certain restrictions.
  • 🖼️ The 'sdxl' model is recommended for basic usage, as it provides sufficient image quality for most purposes.
  • 🛠️ The interface is simple but slightly counterintuitive; users can input prompts, choose styles, and specify parameters for image generation.
  • ⏱️ It takes about 10 seconds to generate one image, with the initial output not in full resolution.
  • 🔍 Full resolution images can be accessed and downloaded from a specific tab in the notebook.
  • 🔗 The option to apply a 'logo model' like Lora is available, though it's not as seamlessly integrated as desired.
  • 📚 A more advanced version of the notebook with additional features is available for Patreon subscribers.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is using Stable Diffusion for free in Google Colab Notebook without needing a powerful GPU or paying for a subscription, and avoiding disconnects.

  • Why were most of the previously created Google Colab notebooks banned?

    -Most of the previously created Google Colab notebooks were banned because they violated Google's policies.

  • What is the alternative method presented in the video?

    -The alternative method presented is a simple notebook for basic Stable Diffusion usage, which does not violate any Google policies and should work without being banned.

  • What are the two model options available in the new notebook?

    -The two model options available are SDXL and SD XL with Refiner.

  • Why is the SD XL with Refiner model not compatible with lower models?

    -The SD XL with Refiner model is not compatible with lower models due to API restrictions.

  • What is the difference between the SD XL with Refiner and without Refiner?

    -The SD XL with Refiner allows for more detailed images and is important for good generation, while the SD XL without Refiner is sufficient for basic usage.

  • How long does it take to install the required components and models in the new notebook?

    -It takes about 5 minutes to install all the required components and the SDXL model.

  • What is the process for generating an image with the new notebook?

    -After installing the requirements and selecting the model, the user enters their prompt, style, and other parameters, then presses the 'Generate' button. The image is generated in about 10 seconds.

  • How can full resolution images be obtained from the notebook?

    -To get full resolution images, the user needs to open the 'Output Images' tab and download the images from there.

  • How can additional models be added to the notebook?

    -Additional models can be added by using another version of the notebook available to the creator's Patreon subscribers.

  • What are some limitations of the current notebook compared to more advanced interfaces?

    -The current notebook is basic and lacks sophisticated user interfaces like those in Google Colab, and advanced features such as face WAP or image prompts due to RAM restrictions.

Outlines

00:00

📚 Introduction to Free SA Diffusion in Google Colab

The paragraph introduces the audience to a method of utilizing SA (Stability-Adversarial) Diffusion for free in a Google Colab notebook, without the need for a powerful GPU or a paid subscription. The speaker mentions that many previous notebooks violated Google's policies, leading to their ban, but assures that the new notebook adheres to the rules and should remain functional. The speaker provides a step-by-step guide on setting up the notebook, choosing the appropriate runtime type (Python 3 with T4 GPU), and selecting a model (either SDXL or SD XL with refiner). It is noted that the refiner option offers more detailed images but may not be compatible with lower models due to restrictions. A quick comparison between the two models is also provided, emphasizing that the XL without refiner is sufficient for basic usage.

05:00

🛠️ Customizing and Using the Google Colab Notebook

This paragraph delves into the customization and utilization of the Google Colab notebook. The speaker explains the interface of the notebook, which is simple but slightly counterintuitive. Users can enter prompts, specify styles (such as anime, photography, or comic books), and adjust advanced settings like random seeds, resolution, sampler, and steps for image generation. The process of generating an image is outlined, including the time it takes and the fact that the initial output is not in full resolution. Full resolution images can be accessed and downloaded from a specific tab. Additionally, the speaker discusses the use of a logo model, which can be applied to generate images with a specific logo. However, it is mentioned that the ISD XL model does not work with this feature. The speaker also acknowledges plans to fix this issue and offers access to more models through a Patreon subscription.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is a type of artificial intelligence model used for generating images from textual descriptions. It is a part of the broader category of deep learning models known as generative models, which are designed to create new data instances that are similar to the training data. In the context of the video, Stable Diffusion is the primary tool for creating images in Google Colab notebooks without the need for a powerful GPU or a paid subscription.

💡Colab Notebook

A Colab Notebook is an interactive document that allows users to write and execute Python code, particularly for machine learning and data analysis projects. Google Colab provides these notebooks for free and they can be used to run code in the cloud, which means that users do not need to have powerful hardware on their local machines. The video describes a method to use Stable Diffusion in a Colab Notebook without any disruptions or additional costs.

💡No disconnects

The term 'no disconnects' refers to the uninterrupted and continuous functioning of a service or process. In the context of the video, it means that the user can utilize the Stable Diffusion model in the Google Colab Notebook without any unexpected interruptions or disconnections, ensuring a smooth and seamless experience.

💡Free

In the context of the video, 'free' indicates that the method or service being discussed does not require any payment or subscription. The speaker is presenting a way to use Stable Diffusion for image generation in Google Colab notebooks without incurring any costs, making it accessible to everyone regardless of their financial situation.

💡Midjourney alternative

A 'Midjourney alternative' refers to a different method or tool that can be used in place of Midjourney, which is a platform known for its AI-powered image generation capabilities. In the video, the speaker is providing information on how to use Stable Diffusion as a substitute for Midjourney, offering a similar service but with different characteristics and potentially different results.

💡Google Colab

Google Colab is a cloud-based platform provided by Google that allows users to write and execute Python code in notebooks. It is particularly popular among data scientists and machine learning enthusiasts for its ease of use and the ability to run code on Google's servers, which means no need for local hardware with high computational power. In the video, the speaker is discussing how to use Google Colab for running Stable Diffusion without any costs.

💡T4 GPU

T4 GPU refers to a specific type of graphics processing unit (GPU) designed by NVIDIA. It is a high-performance chip used in cloud computing services for machine learning and other computationally intensive tasks. In the context of the video, the T4 GPU is mentioned as one of the options for running the Colab Notebook, indicating that the user can choose this option to utilize the GPU's capabilities for image generation with Stable Diffusion.

💡Model selection

Model selection refers to the process of choosing the appropriate machine learning or AI model for a specific task. In the video, the speaker mentions two options for the Stable Diffusion model: 'sdxl' and 'SD XL with refiner'. The choice depends on the user's requirements for image detail and the computational resources available.

💡Refiner

A 'refiner' in the context of AI image generation models like Stable Diffusion is a component or process that enhances the quality or detail of the generated images. It works by further processing the initial output to add finer details or improve certain aspects of the image, resulting in a more polished final product.

💡Interface

In computing, an 'interface' refers to the point of interaction between a user and a computer program or system. It includes the design and layout of the screens, buttons, menus, and other elements that users interact with to perform tasks. In the video, the speaker describes the interface of the Stable Diffusion model in the Colab Notebook as simple but somewhat counterintuitive, indicating that while it is easy to use, it may not be immediately obvious how to navigate or operate.

💡Prompt

A 'prompt' in the context of AI image generation is a textual description or input that guides the AI model to create a specific image. The prompt serves as the starting point for the AI to understand what kind of image the user wants to generate. In the video, the speaker instructs the audience on how to enter a prompt to generate images using Stable Diffusion in the Colab Notebook.

Highlights

Using Stable Diffusion for free in Google Colab Notebook without powerful GPU or pay subscription.

Avoiding disconnects by not violating Google Colab rules.

Creation of numerous Google Colab notebooks for the last 8 months.

Invoke AI is the only working notebook that hasn't been banned.

Introduction of a simple notebook for basic Stable Diffusion usage.

Selecting the proper notebook type: Python 3 and T4 GPU.

Two model options: sdxl and ISD XL with refiner.

ISD XL with refiner provides more detailed images but has restrictions.

ISD XL without refiner is sufficient for basic usage.

Installation of all needed requirements and the sdxl model takes about 5 minutes.

Simple interface for image generation with prompt, style, and advanced settings.

Generating an image takes about 10 seconds.

Full resolution images can be downloaded from the output tab.

Applying a logo model using a link and Lura for personalized images.

ISD XL does not work with Lura models at the moment.

Access to more sophisticated features and models available through Patreon subscription.

Creator's channel and Patreon offer various stable notebooks for different UIs and applications.

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