How to Install SDXS in ComfyUI | Step-by-Step Tutorial | Real Time Stable Diffusion
TLDRXiaomi's groundbreaking SDXS project, capable of generating images at 100 frames per second on a single GPU, is now accessible through ComfyUI. To utilize this technology, ensure your ComfyUI is updated, download the necessary workflow file, and install UNET, Clip, and VAE files in their respective directories. The process is straightforward, leading to rapid image generation, albeit with a current trade-off between speed and quality. The future holds promise for real-time, high-quality image generation.
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 Stability Matrix before proceeding with the installation.
- 📂 Download the workflow file for SDXS from the provided URL and drag it into your ComfyUI window.
- 🛠️ Install necessary files such as UNET, Clip, and VAE for the project to run properly.
- 📁 Place the UNET file in the ComfyUI / Models / UNET directory, renaming it to include 'SDXS' for clarity.
- 📄 Similarly, install the Clip file in the ComfyUI / Models and Clip directory.
- 📂 For the VAE file, place it in either the VAE folder or the shared Models folder, depending on your setup.
- 🚀 After all files are in place, use the Queue Prompt feature to generate an image almost instantly (in 0.3 seconds).
- 🖼️ Note that the image quality may not be as high as with normal stable diffusion due to the trade-off between speed and quality.
- 🌟 The rapid progress in AI technology suggests that real-time, high-quality image generation will be achievable very soon.
Q & A
What is the significance of the SDXS project unveiled by Xiaomi?
-The SDXS project by Xiaomi is significant because it claims to generate images at an astonishing rate of 100 frames per second on a single GPU, which is a major breakthrough in the field of AI and image generation.
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 can 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.
What are the necessary files required to run SDXS in ComfyUI?
-To run SDXS, you need to have the UNET, Clip, and VAE files installed.
Where should the UNET file be placed after downloading it?
-The UNET file should be placed in the ComfyUI / Models / UNET folder, which may vary depending on the user's specific file path, but in the example given, it's installed in Stable Diffusion / Packages / ComfyUI / Models, and UNET.
How is the Clip file installed in ComfyUI?
-The Clip file is installed by downloading it and placing it in the ComfyUI / Models and Clip folder.
Where should the VAE file be placed in the ComfyUI directory?
-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 setting up SDXS in ComfyUI?
-After setting up, you can expect to generate an image, such as a bottle, in just 0.3 seconds by hitting the Queue Prompt.
What is the trade-off mentioned in the script when it comes to the SDXS project?
-The trade-off mentioned is between speed and quality. While SDXS can generate images at a high speed, the quality might not be as high as with normal stable diffusion.
What can we expect in the future regarding real-time image generation?
-The script suggests that with the current rate of progress in AI technology, we can expect 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 awe at this breakthrough and provides instructions on how to run the project using the ComfyUI platform. The first step involves ensuring that the ComfyUI is updated to the latest version through the Stability Matrix. Following this, users are guided to download the workflow file from a provided URL and install necessary files such as UNET, Clip, and VAE within specific folders in their ComfyUI directory. The speaker concludes by highlighting the current trade-off between speed and quality in image generation but remains optimistic about the future of real-time, high-quality image generation in AI.
Mindmap
Keywords
💡AI
💡SDXS
💡ComfyUI
💡Stability Matrix
💡Workflow File
💡UNET
💡Clip
💡VAE
💡Queue Prompt
💡Image Quality
💡Real Time
Highlights
AI world is rapidly progressing 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 up to date for optimal use.
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 your ComfyUI window.
Download and install the UNET file in the ComfyUI / Models / UNET folder.
Rename the UNET file to include SDXS for clarity.
Install the Clip file in the ComfyUI / Models and Clip folder.
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 quickly.
SDXS offers a trade-off between speed and image quality.
The current image quality may not match stable diffusion standards.
With the rapid pace of AI, high-quality real-time image generation is anticipated.
The process is simple and results are delivered in as fast as 0.3 seconds.
The future of AI imaging looks promising with continuous advancements.