How to Install SDXS in ComfyUI | Step-by-Step Tutorial | Real Time Stable Diffusion
TLDRXiaomi's groundbreaking AI project, SDXS, generates 100 frames per second on a single GPU, revolutionizing image creation. This tutorial guides users through installing SDXS on ComfyUI, emphasizing the need for updated software and specific file installations like UNET, Clip, and VAE for optimal performance. Despite a trade-off between speed and quality, the future promises real-time, high-quality image generation, leaving viewers in awe of the rapid advancements in AI technology.
Takeaways
- 🚀 Xiaomi has unveiled a new AI project called SDXS, which claims to generate images at 100 frames per second on a single GPU.
- 💻 Ensure your ComfyUI is up to date by checking for updates through the Stability Matrix.
- 📂 Download the workflow file from the provided URL and drag it into your ComfyUI window.
- 🛠️ Install the necessary files: UNET, Clip, and VAE to run SDXS in ComfyUI.
- 📁 Place the UNET file in the ComfyUI / Models / UNET directory, renaming it to include 'SDXS' for clarity.
- 📂 The Clip file is installed similarly, by downloading and placing it in the ComfyUI / Models and Clip folder.
- 📁 For the VAE file, place it in the VAE folder or the shared Models folder within the ComfyUI directory.
- 🚀 After all files are in place, use the Queue Prompt feature to generate an image almost instantly (0.3 seconds).
- 🖼️ The image quality from SDXS may not be as high as traditional stable diffusion, indicating a trade-off between speed and quality.
- 🌟 The rapid progress in AI suggests that real-time, high-quality image generation could be achieved very soon.
Q & A
What significant claim does Xiaomi's SDXS project make in the research paper?
-Xiaomi's SDXS project claims to generate images at a staggering 100 frames per second on a single GPU, presumably a 4090.
What is the first step to prepare for installing SDXS in ComfyUI?
-The first step is to ensure that your ComfyUI is up to date, which can be done through the Stability Matrix by checking for updates.
Where can you find the link to download the workflow file for SDXS in ComfyUI?
-The link to download the workflow file can be found in the description of the video/script.
Which files need to be installed in ComfyUI to run SDXS?
-To run SDXS, you need to have the UNET, Clip, and VAE files installed.
How should you rename the UNET file for SDXS?
-You should rename the UNET file to include 'SDXS' in the name as many projects use this file name.
Where should the UNET file be placed in the ComfyUI directory?
-The UNET file should be placed in the ComfyUI / Models / UNET folder.
What is the process for installing the Clip file in ComfyUI?
-The Clip file should be downloaded and placed in the ComfyUI / Models and Clip folder.
Where should the VAE file be installed in the ComfyUI directory?
-The VAE file can be placed either in the VAE folder or the shared Models folder within ComfyUI.
What is the approximate time it takes for SDXS to generate an image?
-SDXS can generate a beautiful bottle image in approximately 0.3 seconds.
What is the trade-off mentioned between speed and quality in the context of SDXS?
-The trade-off is that while SDXS can generate images at a very high speed, the image quality may not be as high as that of normal stable diffusion.
What can we expect in the future regarding real-time high-quality image generation?
-At the current rate of progress, it is expected that we will be able to generate high-quality images in real time very soon.
Outlines
🚀 Rapid Advancements in AI: Xiaomi's SDXS Project
This paragraph discusses the rapid progress in the field of Artificial Intelligence (AI), 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 model. The speaker expresses amazement at this breakthrough and provides instructions on how to run the project using the ComfyUI platform. Users are advised to ensure their ComfyUI is updated and to download the necessary workflow file from a provided URL. The paragraph also details the installation of required files such as UNET, Clip, and VAE, and concludes with a demonstration of the project's speed and potential for future advancements in real-time, high-quality image generation.
Mindmap
Keywords
💡AI
💡SDXS
💡ComfyUI
💡Stability Matrix
💡UNET
💡Clip
💡VAE
💡Image Generation
💡Quality
💡Trade-off
💡Real Time
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.
Install necessary files: UNET, Clip, and VAE.
Place the UNET file in the ComfyUI / Models / UNET directory.
The Clip file installation follows the same procedure.
The VAE file can be placed in the VAE or shared Models folder.
After setup, use the Queue Prompt to generate images quickly.
SDXS offers impressive speed but a trade-off in image quality.
The current AI progress suggests high-quality real-time imaging is near.
The tutorial showcases the ease of implementing SDXS in ComfyUI.
The video demonstrates generating a bottle image in 0.3 seconds.
The future of AI imaging promises real-time, high-quality results.
The tutorial is a step-by-step guide for users to follow.