Quick How to! Use Stable Diffusion 3 in 3 minutes | Tutorial | ComfyUI | Colab | Stability AI API

Abe aTech
23 Apr 202403:07

TLDRIn this quick tutorial, learn how to use Stable Diffusion 3 with ComfyUI and Google Colab in just 3 minutes. First, obtain an API key from the Stability AI website and add it to the Colab notebook. Follow the steps to install dependencies and generate images using the Stability API. Next, configure ComfyUI by installing custom nodes and integrating your API key. This tutorial covers text-to-image and image-to-image generation, highlighting key settings like aspect ratio, seed, and denoise strength. Get started with Stable Diffusion 3 and explore its capabilities!

Takeaways

  • 🔑 To use Stable Diffusion 3, you need an API key from the Stability AI website.
  • 📚 Use a free Google Colab notebook to get started with Stable Diffusion 3.
  • 🔍 Add the API key as a secret in Colab with the name 'SD3_API' to keep it secure.
  • 💾 Install dependencies by running the first step in the Colab notebook.
  • 🔄 After installation, run the second step to access your Stable Diffusion 3 generator.
  • 🖼️ Update your prompts, select aspect ratio, seed, model style, and submit to generate images.
  • 💰 You start with 25 credits, which can generate 3 to 6 images depending on the model.
  • 🚀 The Turbo model is cheaper, but the full model performs better with text.
  • 🛠️ For Comfy UI, install custom nodes or clone the GitHub repository to add Stable Diffusion 3 manually.
  • ⚙️ Configure the custom node in Comfy UI by pasting your Stability AI API key.
  • 🔄 Restart Comfy UI and refresh the browser to access the Stable Diffusion 3 node.
  • 📝 In Comfy UI, adjust settings like aspect ratio, model, seed, and denoise strength for image generation.
  • 📈 The full model produces better results, but may require tweaking and additional credits for desired outcomes.

Q & A

  • What is the first step to use Stable Diffusion 3 according to the tutorial?

    -The first step is to obtain an API key from the Stability AI website by logging in or creating an account.

  • How do you access the Google Colab notebook mentioned in the tutorial?

    -You can access the Google Colab notebook by opening the link provided in the description and making your own copy.

  • What is the purpose of the 'secrets' tab in the Google Colab notebook?

    -The 'secrets' tab is used to securely store sensitive information, such as the API key for Stable Diffusion 3.

  • What does the tutorial instruct to do with the existing keys in the 'secrets' tab?

    -The tutorial instructs to delete any existing keys in the 'secrets' tab before adding a new secret named 'SD3_API'.

  • What is the function of 'Step 1' in the Colab notebook?

    -'Step 1' in the Colab notebook is used to install all the necessary dependencies for using Stable Diffusion 3.

  • What happens when you click the link in 'Step 2' of the Colab notebook?

    -Clicking the link in 'Step 2' will take you to your own Stable Diffusion 3 generator interface.

  • How many credits do you start with when using the Stability API?

    -You start with 25 credits when using the Stability API.

  • What is the difference between the 'Turbo' and 'Full' models in Stable Diffusion 3?

    -The 'Turbo' model is cheaper, but the 'Full' model produces better results with text, especially for text-to-image generation.

  • How can you install Stable Diffusion 3 in Comfy UI if it's not available in the manager?

    -You can install it manually by cloning the GitHub repository and adding your Stability AI API key in the configuration file.

  • What settings can you adjust in the Stable Diffusion 3 node in Comfy UI?

    -In Comfy UI, you can adjust the prompts, aspect ratio, model, seed, and denoise strength for the image.

  • What is the tutorial's final advice regarding the results from Stable Diffusion 3?

    -The tutorial advises that while the full model produces better results, it is not perfect and may require several tweaks and credits to get the desired image.

Outlines

00:00

🔑 Getting Started with Stable Diffusion API

This paragraph provides a step-by-step guide on how to begin using Stable Diffusion through an API key obtained from the Stability AI website. It instructs viewers to log in or create an account, create an API key, and then copy it for use in a Google Colab notebook. The notebook is linked in the description and viewers are guided to set up secrets for the API key, install dependencies, and access the Stable Diffusion 3 generator. The process includes updating prompts, selecting aspect ratios, and choosing model styles to generate images using the Stability API, with an initial 25 credits provided for image generation.

📚 Using Comfy UI with Stable Diffusion 3

The second part of the script explains how to integrate Stable Diffusion 3 into the Comfy UI application. It details the manual installation process of the custom node for Stable Diffusion 3, which includes cloning a GitHub repository and configuring the API key within the application. After restarting Comfy UI, users can utilize the Stable Diffusion 3 node to input prompts, adjust settings such as aspect ratio, model, seed, and denoise strength. The script also discusses the process of generating images from both text and existing images, noting that while the full model produces better results, it may require several attempts and adjustments to achieve the desired outcome.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is a term referring to a type of artificial intelligence model that generates images from textual descriptions. In the context of the video, it is the main subject being demonstrated, showing viewers how to utilize this technology within a specific software environment. The tutorial aims to guide users through the process of setting up and using Stable Diffusion with the help of an API key.

💡API Key

An API key is a unique code that allows developers to access a specific API (Application Programming Interface). In the script, obtaining an API key from the Stability AI website is the first step in the process of using Stable Diffusion. It is essential for authenticating and authorizing the use of the Stability AI services within the Colab notebook.

💡Google Colab Notebook

A Google Colab Notebook is an interactive online platform that allows users to write and execute Python code. In the video, the Colab Notebook is used as a tool to run the Stable Diffusion model, with the tutorial instructing viewers on how to set up secrets and install dependencies for the Stable Diffusion process.

💡Secrets Tab

In the context of the video, the Secrets Tab refers to a feature within the Google Colab environment where users can securely store and manage sensitive information, such as API keys. The tutorial instructs viewers to add a new secret named 'SD3_API' to store their Stability AI API key.

💡Dependencies

Dependencies in programming are external libraries or packages that a software application relies on to function properly. The script mentions installing all dependencies in the notebook, which is necessary for the Stable Diffusion model to work correctly within the Colab environment.

💡Comfy UI

Comfy UI is a user interface for node-based software that allows for the customization and automation of various tasks. In the video, Comfy UI is used as an alternative method to access and utilize the Stable Diffusion model, with the tutorial providing steps to manually install the necessary nodes.

💡Custom Nodes

Custom nodes in Comfy UI are additional components that can be installed to extend the functionality of the software. The script describes how to install a custom node for Stable Diffusion 3, which is not available in the manager and requires manual installation from a GitHub repository.

💡GitHub Repository

A GitHub repository is a location where projects are stored and version-controlled using Git. In the tutorial, the GitHub repository is the source from which the custom node for Stable Diffusion 3 is cloned, allowing users to integrate this functionality into their Comfy UI instance.

💡Aspect Ratio

Aspect ratio is the proportional relationship between the width and height of an image or screen. The video script mentions selecting an aspect ratio as part of the process of generating images with Stable Diffusion, which determines the shape and dimensions of the output image.

💡Model Style

Model style refers to the specific characteristics or aesthetic of the AI model being used. In the context of the video, selecting a model style is part of customizing the image generation process with Stable Diffusion, allowing users to influence the visual outcome of the generated images.

💡Denoising Strength

Denoising strength is a parameter in image generation models that controls the level of noise reduction applied to the final image. The script mentions setting denoising strength as one of the settings users can adjust when generating images with Stable Diffusion in Comfy UI.

Highlights

This tutorial shows how to use Stable Diffusion 3 in just 3 minutes.

You need an API key from the Stability AI website to start.

Create an account and generate an API key if you don't have one.

Use a free Google Colab notebook to get started.

Follow the link in the description to make your own copy of the notebook.

Add a new secret named 'SD3_API' in the Colab notebook's secrets tab.

Paste your API key and allow notebook access to proceed.

Run step 1 to install all dependencies for the notebook.

After installation, run step 2 to access your Stable Diffusion 3 generator.

Update prompts, select aspect ratio, seed, model style, and submit to generate images.

You start with 25 credits to generate images using the Stability API.

The Turbo model is cheaper, but the full model is better for text.

The tutorial notebook was created from a GitHub repo.

In Comfy UI, install custom nodes for Stable Diffusion 3 manually if not available.

Clone the GitHub repository and configure the API key in the configuration file.

Restart Comfy UI and refresh the browser to use the Stable Diffusion 3 node.

Choose settings like aspect ratio, model, seed, and denoise strength for image generation.

You can perform text to image or image to image generation in Comfy UI.

The full model produces better results but may require tweaks and credits.

Share your thoughts and experiences with the new models in the comments.

Stay updated with the latest at Stability AI for image generation.