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

Abe aTech
23 Apr 202403:07

TLDRThis tutorial demonstrates how to use Stable Diffusion 3 in Comfy UI or via a Google Colab notebook with the Stability AI API. It guides users through obtaining an API key, setting up a Colab notebook with secrets, and running the necessary steps to generate images using Stable Diffusion 3. The video also covers manual installation in Comfy UI, adjusting settings for aspect ratio, model style, and denoise strength, and highlights that while the full model offers better text-to-image results, it may require adjustments and credits for desired outcomes.

Takeaways

  • 🔑 To use Stable Diffusion, first obtain an API key from the Stability AI website by logging in or creating an account.
  • 📚 Use a free Google Colab notebook to get started, as linked in the description, and make a copy for personal use.
  • 🔍 In the Colab notebook, go to the secrets tab to add a new secret named 'SD3_API' and paste your API key, granting access to the notebook.
  • 🛠️ Install all necessary dependencies by running step 1 in the notebook, which sets up the environment for Stable Diffusion.
  • 🖼️ After setting up, run step 2 to access the Stable Diffusion 3 generator, where you can customize prompts, aspect ratio, model style, and more.
  • 💰 You start with 25 credits that allow you to generate multiple images depending on the chosen model, with the full model being more text-accurate but costlier.
  • 🛠️ For Comfy UI, manually install the Stable Diffusion 3 node if it's not available in the manager by cloning the GitHub repository.
  • ✂️ Edit the configuration file in the cloned repository to include your Stability AI API key.
  • 🔄 Restart Comfy UI and refresh the browser to access the Stable Diffusion 3 node for image generation with customized settings.
  • 📈 Choose between different models in Comfy UI, such as aspect ratio, seed, and denoise strength, to fine-tune your image generation.
  • 📝 Experiment with text-to-image or image-to-image generation, understanding that the full model produces better results but may require adjustments and additional credits.
  • 💬 Engage with the community by sharing your thoughts on the new models in the comments and staying updated with the latest from Stability AI.

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 can you use a free Google Colab notebook for Stable Diffusion 3?

    -You can use a free Google Colab notebook by opening the notebook linked in the description, making your own copy, and following the steps in the notebook to set up the API key and run the necessary scripts.

  • What is the purpose of the 'SD3_API' secret in the Colab notebook?

    -The 'SD3_API' secret is used to store your Stability AI API key securely within the Colab notebook environment.

  • What does running 'Step 1' in the Colab notebook accomplish?

    -Running 'Step 1' in the Colab notebook installs all the necessary dependencies for using Stable Diffusion 3.

  • How do you access the Stable Diffusion 3 generator after completing the setup in the Colab notebook?

    -After completing the setup, you scroll to the bottom of 'Step 2' in the notebook, click on the provided link, which takes you to your own Stable Diffusion 3 generator.

  • What are the initial credits you get when you start using the Stability API?

    -You start with 25 credits, which can be used to generate images depending on the model chosen.

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

    -The 'Turbo' model is cheaper but the 'Full' model provides better results with text, although it may require more credits per generation.

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

    -If it's not available in the manager, you can install it manually by cloning the GitHub repository into your custom nodes folder and configuring the 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 settings such as the aspect ratio, model, seed, and denoise strength for the image.

  • How does the Stable Diffusion 3 node handle multiple text outputs in Comfy UI?

    -The node can handle multiple text outputs, but it may require some tweaking and additional credits to achieve the desired image results.

  • What should you do if you want to provide feedback on the new models in the tutorial?

    -You can leave your thoughts and feedback in the comments section of the tutorial.

Outlines

00:00

🖌️ Getting Started with Stable Diffusion

This paragraph introduces the process of using Stable Diffusion, a generative model, without a comfortable user interface. It starts by instructing viewers to obtain an API key from the Stability AI website, either by logging in or creating an account. Once the API key is created, the viewer is guided to use a Google Colab notebook linked in the description to set up the environment by adding the API key as a secret named 'SD_API'. The instructions continue with running the notebook in steps to install dependencies and access the Stable Diffusion generator. The paragraph also touches on using different models and the cost associated with generating images, mentioning the Turbo model and the full model, and concludes with a brief mention of creating a notebook from a GitHub repository.

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 video, it is the main subject where the host demonstrates how to use it through a tutorial. The model's ability to interpret text and create images is central to the video's theme of image generation using AI.

ComfyUI

ComfyUI is a user interface platform that simplifies the process of working with complex software, such as AI models. In the script, ComfyUI is used to install and run Stable Diffusion 3, showcasing its ease of use and integration capabilities with AI tools.

API Key

An API key is a unique identifier used to authenticate requests to an API (Application Programming Interface). In the context of the video, obtaining an API key from the Stability AI website is a prerequisite for accessing and using the Stable Diffusion service.

Google Colab

Google Colab is a cloud-based platform for machine learning education and research. It is used in the tutorial as a means to run the Stable Diffusion model without the need for local computing resources, demonstrating its utility for AI experimentation.

Dependencies

Dependencies in software development refer to other software components that a program requires to function properly. In the script, installing dependencies in the Colab notebook is a necessary step to prepare the environment for running the Stable Diffusion model.

Secrets Tab

In the context of the video, the 'Secrets Tab' is a feature within Google Colab where users can securely store and manage sensitive information like API keys. It is used to keep the Stability AI API key confidential while using the notebook.

Aspect Ratio

Aspect ratio is the proportional relationship between the width and height of an image or screen. In the video, selecting an aspect ratio is part of the process of customizing the image generation parameters in Stable Diffusion.

Model Style

Model style refers to the specific characteristics or 'flavor' of the AI model's output. In the script, choosing a model style is one of the settings that users can adjust to influence the aesthetic of the generated images.

Denoising Strength

Denoising strength is a parameter that controls the level of noise reduction applied during the image generation process. It is mentioned in the script as a setting that can be adjusted to improve the clarity of the final image output.

Text-to-Image

Text-to-Image is a process where an AI model generates an image based on textual descriptions. The video demonstrates this process by using Stable Diffusion to create images from textual prompts, showcasing the model's interpretative capabilities.

Image-to-Image

Image-to-Image refers to the process where an AI model transforms or edits an existing image based on additional input. In the video, this concept is illustrated by feeding an image into Stable Diffusion to modify its aspect ratio or other attributes.

Highlights

Introduction to using Stable Diffusion with or without ComfyUI.

Instructions on obtaining an API key from the Stability AI website.

Using a free Google Colab notebook for the tutorial.

Adding a new secret 'SD3_API' in the Colab notebook for API key integration.

Running the first step in the Colab notebook to install dependencies.

Accessing the Stable Diffusion 3 generator after running step 2.

Customizing image generation with prompts, aspect ratio, seed, and model style.

Understanding the credit system and the number of images that can be generated.

Comparing the Turbo and full model options for text generation.

Creating a Colab notebook from a GitHub repository for Stable Diffusion.

Launching ComfyUI and installing custom nodes for Stable Diffusion 3.

Manually installing Stable Diffusion 3 using terminal commands.

Configuring the Stable Diffusion 3 node with the Stability AI API key.

Restarting ComfyUI and using the Stable Diffusion 3 node for image generation.

Adjusting settings such as aspect ratio, model, seed, and denoise strength.

Demonstrating image to image transformation using Stable Diffusion 3.

Creating a new sign using text to image generation with Stable Diffusion 3.

Addressing the need for tweaks and additional credits for desired image outcomes.

Invitation for feedback on the new models in the comments section.

Encouragement to stay updated with Stability AI for the latest developments.

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