Beginner's Guide to Stable Diffusion and SDXL with COMFYUI

31 Jul 202364:03

TLDRIn this informative video, Kevin from Pixel foot introduces viewers to Stable Diffusion SDL (Stable Diffusion Extra Large), a powerful image-generating software that can create a wide array of images from simple text prompts. He showcases various images produced using the standard model from Stability AI, highlighting the software's ability to generate both photorealistic and fantastical images. Kevin also guides beginners on how to get started with SDL, including setting up a Stability AI account on Hugging Face, downloading necessary files, and using Comfy UI for an intuitive interface. He emphasizes the importance of using safe and reputable sources for downloading checkpoint files to avoid potential security risks. The video also touches on the limitations of the model, such as its struggle with rendering legible text and generating faces, and the need for a powerful GPU for optimal performance. Kevin concludes with a demonstration of Comfy UI in action, illustrating the software's workflow and its potential for creating stunning visuals.


  • 🎨 **Stable Diffusion SDL and SDXL Overview**: Kevin from Pixel foot introduces Stable Diffusion XL (SDL) and its capabilities, showcasing a variety of images created with the software using Comfy UI.
  • πŸš€ **Installation and Setup**: To get started with SDXL, specific files need to be downloaded from Stability AI's account on Hugging Face, including the base model and refiner for the Ensemble of Experts method.
  • πŸ“š **Understanding Different Versions**: There are various versions of Stable Diffusion available, with 1.5 being a preferred choice for many users due to its performance and community support.
  • πŸ€– **Training and Customization**: Stable Diffusion is open source, allowing users to train the software for specific tasks that the base models may not accomplish, with options for both pruned and unpruned versions.
  • 🌐 **Online Resources**: For additional models and support, websites like Civitai offer alternative base models for SD 1.5 and are recommended for their performance.
  • πŸ’» **Comfy UI Installation**: Comfy UI is a flowchart-based interface for Stable Diffusion that supports different operating systems and graphics cards, with detailed installation instructions available on GitHub.
  • πŸ” **Workflow and Interface**: Comfy UI's interface allows users to create and manipulate complex workflows, providing a visual representation of the image generation process.
  • πŸ”§ **Troubleshooting and Validation**: The system provides warnings and feedback within the window to assist users in troubleshooting and ensuring that all components are correctly connected.
  • πŸ”— **Integration with SDXL**: Comfy UI can integrate with SDXL, allowing users to utilize the new features and models provided by the latest versions of Stable Diffusion.
  • πŸ“ˆ **Performance and Resolution**: For optimal performance with SDXL, it is recommended to use image resolutions of 1024x1024 pixels or other resolutions with the same pixel count but different aspect ratios.
  • πŸ”„ **Experimentation and History**: Users can experiment with different prompts, seeds, and settings, with the ability to revisit and reuse previous workflows from the history section.

Q & A

  • What is the main topic of the video?

    -The video is about an introduction to Stable Diffusion SDL (Stable Diffusion Extra Large) and COMFYUI, focusing on how to get started with these tools and showcasing the types of images they can produce.

  • What are the types of images that can be created with Stable Diffusion XL?

    -Stable Diffusion XL can create a wide variety of images, ranging from photorealistic to complete fantasy, including surrealistic and minimalistic styles.

  • What is the role of text prompts in creating images with Stable Diffusion XL?

    -Text prompts are used to guide the software in generating images. They act as instructions for the AI to create specific types of images based on the text provided.

  • What are some challenges when using Stable Diffusion XL?

    -Some challenges include producing realistic faces, rendering legible text, and managing the compositionality of complex scenes, such as placing objects on specific parts of an image.

  • How can one get started with Stable Diffusion XL?

    -To get started, one needs to create an account on Hugging Face, download necessary files from Stability AI, and install COMFYUI, which is a user interface for Stable Diffusion.

  • What are the system requirements for running COMFYUI?

    -COMFYUI requires Python 3.10 and is compatible with Windows, Apple, and Linux operating systems. It also supports both Nvidia and AMD graphics cards, with the performance being particularly good on Nvidia GPUs.

  • What is the significance of the 'Ensemble of Experts' method mentioned in the video?

    -The 'Ensemble of Experts' method is a technique used in Stable Diffusion XL that combines multiple models of Stable Diffusion to improve the quality of the generated images.

  • How does the video demonstrate the capabilities of COMFYUI?

    -The video demonstrates COMFYUI's capabilities by showing a complex workflow that allows for the creation and refinement of images, as well as the ability to compare different outputs and experiment with various models.

  • What are the limitations of the Stable Diffusion model as mentioned in the video?

    -The limitations include the model's inability to achieve perfect photorealism, its struggle with rendering legible text, and challenges in generating properly composed images with specific color placements.

  • What is the recommended resolution for using Stable Diffusion XL with COMFYUI?

    -The recommended resolution for optimal performance with Stable Diffusion XL and COMFYUI is 1024 by 1024 pixels or other resolutions with the same amount of pixels but a different aspect ratio.

  • How does the video guide users to install and run COMFYUI?

    -The video provides a step-by-step guide, including downloading the software from GitHub, extracting the zip file using 7-Zip, and running the software on either a CPU or an Nvidia GPU.

  • What are some additional resources provided for users to learn more about COMFYUI and Stable Diffusion XL?

    -The video mentions the COMFYUI GitHub page for installation instructions and examples, as well as courses on Udemy for in-depth learning. It also suggests checking the Stability AI account on Hugging Face for model files.



πŸ–ΌοΈ Introduction to Stable Diffusion XL and Comfy UI

Kevin from Pixel foot introduces the audience to Stable Diffusion XL (sdxl), an advanced image generation software, and Comfy UI, its user interface. He demonstrates the diversity of images created using sdxl with the standard model from Stability AI, highlighting the photorealistic and fantasy styles. The process begins with text prompts, and Kevin emphasizes the ease of use and the amazing results achievable without third-party tools.


πŸ“š Navigating Stability AI and Selecting Models

The video guides viewers on how to navigate the Stability AI account on hugging face, create a free account, and download necessary files for sdxl. Kevin discusses different versions of stable diffusion available, including 1.5 and 2.1, and recommends specific versions like Runway ML's stable diffusion 1.5 for its quality. He also touches on the importance of downloading safe tensors to avoid executing unwanted code.


πŸ’Ύ Downloading and Installing Prerequisites

Kevin outlines the prerequisites for using stable diffusion, such as Python 3.10 and emphasizes the installation of Comfy UI from GitHub. He provides instructions for Windows, Apple, and Linux users and highlights the benefits of using an Nvidia GPU. The video also mentions the need for sufficient storage space for checkpoint files and the use of 7-Zip for extracting files.


πŸ” Exploring Comfy UI Features and Workflow

The presenter demonstrates how to run Comfy UI, either on CPU or GPU, and navigate its interface. He explains the need to edit the 'extra model paths yaml' file to ensure Comfy UI locates the checkpoint files. Kevin then showcases a complex workflow in Comfy UI, illustrating how it can generate numerous images through a process involving a base render and a refiner.


🌌 A Deep Dive into Galaxy Image Creation

Kevin discusses the process of creating a galaxy image using a specific prompt within Comfy UI. He details the steps from generating a base render to applying refinements and special effects. The video emphasizes the ability to compare different outputs and the importance of understanding how models work together to achieve desired results.


πŸ› οΈ Understanding the Workflow and Sampler

The video explains the workflow of the 1.5 stable diffusion model used in Automatic 1111, focusing on the sampler's role in creating a latent image from a seed. Kevin discusses how changes in the control settings affect the rendering process and the importance of the checkpoint in linking the VAE and CLIP models to decode and generate images.


βš™οΈ Customizing and Troubleshooting the Workflow

Kevin guides viewers on how to customize the workflow by changing models and understanding the impact on the generated images. He also provides tips on finding original images through the history feature and saving images using the save image node. The video highlights the importance of following the workflow logic and paying attention to feedback within the window for troubleshooting.


πŸ”„ Adjusting Settings for Optimal Performance

The presenter discusses the importance of adjusting settings like the number of steps and CFG value in the case sampler for optimal results. He explains the function of the scheduler and the denoise value, emphasizing keeping the latter at one. Kevin also mentions the use of different mathematical models in the sample name and the impact on processing time.


πŸ“ˆ Working with SDXL and Its Evolving Features

Kevin provides an overview of working with the new SDXL feature, noting its rapid evolution and the commitment to keeping the course updated. He directs viewers to the Comfy UI website for more instructions and examples, emphasizing the recommended aspect ratios and the importance of using the latest VAE version for optimal performance with SDXL.


πŸ–ŒοΈ Exploring SDXL Workflows and Customization

The video concludes with an exploration of SDXL workflows, showing how to recreate them from scratch and customize them according to user preferences. Kevin explains the use of different checkpoint loaders, the importance of choosing the correct files, and the process of connecting nodes in the workflow. He also discusses the use of the history feature and the ability to save and load workspaces.



πŸ’‘Stable Diffusion

Stable Diffusion is an open-source AI model developed by Stability AI, which is capable of generating images from textual descriptions. It is a core topic in the video as the host, Kevin, discusses its various versions and their capabilities. For instance, he mentions 'stable diffusion 1.5' and 'stable diffusion XL (SDXL)', emphasizing their ability to produce high-quality images with different styles and details.

πŸ’‘SDXL (Stable Diffusion Extra Large)

SDXL refers to a version of Stable Diffusion that is capable of generating larger and more detailed images compared to the standard model. Kevin demonstrates the power of SDXL by showcasing images generated with it, which include a wide variety of styles from photorealistic to complete fantasy.

πŸ’‘Comfy UI

Comfy UI is a user interface designed to interact with Stable Diffusion models, making the process of generating images more user-friendly. In the video, Kevin uses Comfy UI to illustrate the process of creating images with Stable Diffusion, highlighting its ease of use and the advanced options it provides.


Prompting is the process of providing text inputs to the AI model to guide the generation of images. It is a fundamental concept in the video, as Kevin explains that all it takes to generate images with Stable Diffusion is 'just some text prompts', which can lead to highly creative and varied outputs.


Photorealistic refers to the quality of an image that resembles a photograph. Kevin discusses how Stable Diffusion can produce images that are not only fantastical but also photorealistic, meaning they look like they could have been taken with a camera.


Fantasy, in the context of the video, refers to the creation of images that depict scenes or subjects that are not based on real-world reality but rather on imaginative and creative ideas. Kevin demonstrates the AI's ability to generate 'complete fantasy' images, which are entirely invented and not replicable by human drawing.

πŸ’‘Hugging Face

Hugging Face is a company that hosts the model for Stable Diffusion on their platform. Kevin instructs viewers to start by creating an account on Hugging Face to access and download the necessary files for using Stable Diffusion.

πŸ’‘Runway ML

Runway ML is another organization that provides a version of Stable Diffusion. Kevin mentions Runway ML as a source for downloading the Stable Diffusion 1.5 model, indicating that there are different versions and sources for the AI model.

πŸ’‘Ensemble of Experts

The Ensemble of Experts method is a technique used in AI that combines multiple models to improve performance. Kevin discusses this method in the context of SDXL, explaining that it requires using a sequence of models to generate images.

πŸ’‘VRAM (Video RAM)

VRAM is the memory used by graphics processing units (GPUs) to store image data. Kevin mentions VRAM in relation to the different versions of Stable Diffusion, noting that the unpruned version of the model requires more VRAM, which can be significant for fine-tuning the AI.

πŸ’‘Lossy Auto-encoding

Lossy auto-encoding refers to a process where data is compressed in a way that loses some information and cannot be perfectly reconstructed. Kevin discusses the limitations of the Stable Diffusion model, mentioning that its auto-encoding part is lossy, which means it can introduce artifacts or reduce detail in the generated images.


Kevin from Pixel foot introduces Stable Diffusion XL (SDXL) and COMFYUI, showcasing the software's ability to create a wide variety of images from text prompts.

SDXL is capable of producing high-resolution images without the need for third-party installations.

The standard model from Stability AI can generate photorealistic and fantasy images, as demonstrated by the examples created with SDXL.

COMFYUI is a user interface that simplifies the process of creating images with Stable Diffusion models.

To get started with SDXL, one needs to download specific files from the Stability AI account on Hugging Face.

Different versions of Stable Diffusion are available, with 1.4 being a preferred choice for some users.

Runway ML offers a popular version of Stable Diffusion 1.5, which is suitable for fine-tuning and training specific tasks.

Safe tensors are recommended for downloading models to ensure security and avoid unwanted code execution.

Python 3.10 is a prerequisite for running AI-related software like SDXL and COMFYUI.

COMFYUI supports various operating systems and graphics cards, but it performs best with Nvidia GPUs.

The installation process for COMFYUI on Windows is straightforward, involving the use of 7-Zip to extract files.

Checkpoint files, or 'ckpt' files, are essential for COMFYUI to understand where the model files are stored.

The 'extra model paths yaml' file is crucial for configuring the paths to the model checkpoints.

COMFYUI features a visual workflow interface that allows users to see the entire process of image creation.

The software can create multiple images in a sequence, enabling users to compare different outputs and refine their prompts.

Users can experiment with different models and prompts to achieve desired image results, leveraging the power of COMFYUI's interface.

The history section in COMFYUI is useful for tracking the progress of image creation and finding specific seeds or images.

The video provides a comprehensive guide on setting up and using SDXL and COMFYUI for beginners, including troubleshooting tips.