How to Install SDXS in ComfyUI | Step-by-Step Tutorial | Real Time Stable Diffusion

JZ learns to AI
31 Mar 202403:21

TLDRXiaomi's groundbreaking AI project, SDXS, generates images at 100 frames per second on a single GPU. This tutorial guides users through installing SDXS in ComfyUI, emphasizing the need for updated software and specific file installations like UNET, Clip, and VAE for seamless operation. While the image quality may not match standard stable diffusion, the speed is unparalleled, promising high-quality real-time image generation in the near future.

Takeaways

  • 🚀 The AI world sees rapid advancements, with new developments daily.
  • 📱 Xiaomi has recently revealed a project named SDXS, diversifying from its usual product range.
  • 🖼️ SDXS boasts an impressive image generation speed of 100 frames per second on a single GPU.
  • 💻 To run SDXS in ComfyUI, ensure your ComfyUI is updated to the latest version through Stability Matrix.
  • 📂 Download the workflow file from the provided URL and add it to your ComfyUI window.
  • 🛠️ Install necessary files like UNET, Clip, and VAE for the project to function correctly.
  • 📌 Rename the UNET file to include 'SDXS' for clarity and place it in the appropriate ComfyUI/Models/UNET folder.
  • 📂 Similarly, install the Clip file in the ComfyUI/Models and the VAE file in the VAE folder or shared Models folder.
  • 🚀 After setup, use the Queue Prompt feature to generate an image almost instantly (0.3 seconds).
  • 🔄 While the image quality might not match the standard stable diffusion, the speed is remarkable, highlighting a trade-off between speed and quality.
  • 🌟 With the current pace of progress, high-quality real-time image generation is anticipated in the near future.

Q & A

  • What is the significance of the SDXS project unveiled by Xiaomi?

    -The SDXS project by Xiaomi is a significant breakthrough in AI, capable of generating images at an astonishing rate of 100 frames per second on a single GPU, which is a remarkable advancement in the field.

  • What is the recommended first step before installing SDXS in ComfyUI?

    -The first step is to ensure that your ComfyUI is up to date. This can be done by checking for updates through the Stability Matrix.

  • How do you obtain the workflow file for SDXS in ComfyUI?

    -The workflow file can be obtained by visiting the provided URL mentioned in the description and then dragging and dropping it into the ComfyUI window.

  • Which files need to be installed for SDXS to run properly in ComfyUI?

    -To run SDXS properly, you need to have the UNET, Clip, and VAE files installed.

  • Where should the downloaded UNET file be placed?

    -The UNET file should be placed in the ComfyUI / Models / UNET folder, which may vary depending on the user's specific installation path.

  • How should theClip file be installed in ComfyUI?

    -The Clip file should be downloaded and placed in the ComfyUI / Models and Clip folder for proper installation.

  • What is the recommended way to handle the VAE file for SDXS?

    -The VAE file can be placed either in the VAE folder or the shared Models folder within the ComfyUI directory.

  • What is the expected outcome after installing SDXS and hitting Queue Prompt?

    -After installation and hitting Queue Prompt, you should be able to generate an image, such as a bottle, in just 0.3 seconds.

  • What is the trade-off mentioned in the script regarding the SDXS project?

    -The trade-off mentioned is between speed and quality. While SDXS offers incredible speed in image generation, the quality may not be as high as with normal stable diffusion.

  • What does the future hold for real-time, high-quality image generation?

    -The script suggests that with the current rate of progress in AI technology, it is expected that we will soon be able to generate high-quality images in real time.

Outlines

00:00

🚀 Rapid Advancements in AI: Xiaomi's SDXS Project

This paragraph discusses the fast-paced progress in the realm of artificial intelligence, with a focus on Xiaomi's recent unveiling of an innovative project named SDXS. The project is particularly notable for its claim of generating images at an impressive rate of 100 frames per second on a single GPU, which is suggested to be a 4090. The speaker expresses amazement at this breakthrough and provides instructions on how to run the SDXS project using the ComfyUI platform. Users are advised to ensure their ComfyUI is updated, download the workflow file from a provided URL, and have the necessary UNET, Clip, and VAE files installed in their ComfyUI directories. The process involves downloading and placing the UNET and Clip files in their respective ComfyUI/Models folders, and the VAE file in the VAE or shared Models folder. Once these steps are completed, users can expect to generate an image almost instantly, although the quality may be slightly compromised due to the speed. The speaker concludes with optimism about the future of real-time, high-quality image generation in AI.

Mindmap

Keywords

💡AI

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, AI is the driving force behind the technological advancements in image generation, enabling the creation of high-quality images at an astonishing speed of 100 frames per second on a single GPU.

💡SDXS

SDXS is a project developed by Xiaomi, known for its diverse range of products. The project is a significant breakthrough in the field of AI, as it claims to generate images at an incredible rate of 100 frames per second on a single GPU, which is a remarkable achievement in the realm of image generation and AI technology.

💡ComfyUI

ComfyUI is a user interface that is designed for ease of use and accessibility. In the context of the tutorial, it is the platform where users can run the SDXS project. It is important to ensure that ComfyUI is up to date to take full advantage of the capabilities of the SDXS project.

💡Stability Matrix

The Stability Matrix is a component or feature within the ComfyUI that allows users to manage updates and ensure that their system is current. It is crucial for maintaining the optimal performance of the software and for compatibility with new projects like SDXS.

💡UNET

UNET is a file type or model used in AI and machine learning applications, particularly for image processing tasks. In the video, it is one of the necessary components that users must have installed in their ComfyUI to run the SDXS project successfully.

💡Clip

Clip is another file or model used in AI systems, often for text and image understanding tasks. In the context of the video, it is one of the required files that need to be installed in the ComfyUI / Models and Clip folder for the SDXS project to work effectively.

💡VAE

VAE stands for Variational Autoencoder, which is a type of generative model used in machine learning and AI. It is utilized for tasks such as image generation and compression. In the video, the VAE file is an essential component that belongs either in the VAE folder or the shared Models folder for the SDXS project.

💡Queue Prompt

Queue Prompt is a feature within the ComfyUI that allows users to initiate the process of generating images using the installed models and files. Once the necessary components are in place, users can use the Queue Prompt function to start creating images quickly and efficiently.

💡Image Generation

Image Generation is the process by which AI systems create new images from scratch or based on certain inputs. In the video, it is the main function of the SDXS project, which is able to generate images at an incredibly fast pace, although there is a noted trade-off between speed and quality.

💡Speed vs Quality

The concept of Speed vs Quality refers to the balance that is often required between the rate at which a task is performed and the level of excellence or detail in the outcome. In the context of the video, the SDXS project demonstrates a high speed of image generation, but the quality is not as high as with standard stable diffusion methods.

💡Real Time

Real Time refers to the ability of a system to process and produce outputs instantly, as events occur. In the video, the term is used to describe the potential future capability of AI systems like SDXS to generate high-quality images at the speed of real-time, which would be a significant advancement in the field.

Highlights

AI is rapidly advancing with new developments daily.

Xiaomi has unveiled a project named SDXS.

SDXS can generate images at 100 frames per second on a single GPU.

The project is a significant breakthrough in AI imaging.

Ensure your ComfyUI is updated for the SDXS workflow.

Download the workflow file from the provided URL.

You need to have UNET, Clip, and VAE files installed.

Drag and drop the workflow file into the ComfyUI window.

Download and install the UNET file in the correct folder.

Rename the UNET file to include SDXS for clarity.

Install the Clip file in the ComfyUI / Models and Clip directory.

The VAE file should be placed in the VAE or shared Models folder.

Once files are in place, use the Queue Prompt to generate images.

SDXS can produce a bottle image in just 0.3 seconds.

There's a trade-off between speed and image quality.

Real-time high-quality image generation is on the horizon.

The AI world is expected to make significant progress soon.