SDXL Lightning is SUPER FAST! Only 2 Steps to Render!

In this video, the presenter introduces SDXL Lightning, a revolutionary tool that can render SDXL images in just two steps. The video provides a basic workflow for using the tool, with a more advanced version available to Patron supporters. The presenter guides viewers through downloading the workflow file and the necessary Lura files, and explains how to use them in conjunction with the automatic1111 software. The four-step Lura model is recommended for better quality results. The video also demonstrates how to upscale images using the ultimate SD upscaler, achieving a detailed 2048x2048 SDXL image in just 20 seconds on a 3080ti. The presenter encourages viewers to experiment with the tool and promises to upload a more comprehensive workflow for Patreon supporters in the near future.

Takeaways

• 🌟 SDXL Lightning is a tool that can render SDXL images incredibly fast, in just two steps.
• 🎥 The basic workflow is included, but patrons get an enhanced version with additional features and a detailed video explanation.
• 📄 To use the tool, you need to download the workflow file and save it as a .json file on your hard drive.
• 📁 You also need to download the Lura files from the SDXL Lightning page and place them in your Lora folder.
• 🔍 The four-step Lura file is recommended for a balance between quality and speed.
• 🚀 The tool integrates with Comu I and is compatible with the Automatic1111 folder structure.
• 🔗 The future may bring compatibility with the Automatic1111 tool, which currently does not recognize .pth files.
• 🖼️ The process works best with images that are 1024 by 1024 pixels in size.
• 🔍 The tool is particularly effective for images with a large subject, providing beautiful details.
• 🚀 Upscaling can be done using the Ultimate SD upscaler or a similar method without significantly altering the image content.
• 📈 The Ultimate SD upscaler can use the same settings as the SDXL Lightning for upscaling, leveraging the same Lora model.
• ⏱️ The process is extremely fast, with a high-quality 2048x2048 SDXL image rendering in just 20 seconds on a 3080ti.

Q & A

What is the main feature of SDXL Lightning mentioned in the video?

The main feature of SDXL Lightning is its ability to render SDXL images in only two steps, making it a very fast process.

Who has access to the more advanced workflow for SDXL Lightning?

The more advanced workflow is available to the creator's Patron supporters.

How can one download the basic workflow for SDXL Lightning?

To download the basic workflow, one needs to visit the Hugging Face page, click on the workflow, select 'Raw', and then save the file with a '.json' extension to their hard drive.

What is the file format of the downloaded workflow?

The downloaded workflow file is in JSON format.

Where should the Lura files be downloaded to for use with SDXL Lightning?

The Lura files should be downloaded into the user's Lowe folder, specifically within the 'models' folder and the 'a' subfolder.

What is the advantage of using the four-step Lura model over the two-step model?

The four-step Lura model provides a little bit better quality in the rendered images.

Why is the two-step process not fully functional in the video?

The two-step process is not fully functional yet, so the video demonstrates starting with two steps and discussing the workflow for four steps and eight steps.

What is the recommended image size for the initial render with SDXL Lightning?

The recommended image size for the initial render is 1024 by 1024 pixels.

How does the video suggest improving the detail and sharpness of the rendered image?

The video suggests using an upscaling method like Ultimate SD Upscale or a similar technique to improve the detail and sharpness without changing the image content too much.

What is the surprising part about using the Ultimate SD Upscale with SDXL Lightning?

The surprising part is that the same settings used for SDXL Lightning can also be used in the Ultimate SD Upscaler, which uses the same Lura model for upscaling.

What is the final image resolution achieved with the Ultimate SD Upscale?

The final image resolution achieved is 2048x2048 pixels.

How long does it take to render a 2048x2048 SDXL image on a 3080ti using the described method?

It takes 20 seconds flat to render a 2048x2048 SDXL image on a 3080ti using the described method.

Outlines

00:00

🚀 Introduction to SDXL Lightning and Workflow Overview

The video begins with a greeting and an introduction to SDXL Lightning, a tool that can render SDXL images quickly. The speaker mentions a basic workflow that will be covered and a more advanced one available to Patron supporters. The advanced workflow includes additional tools like ControlNet, IPA Face Detailer, and an Upscale feature. The speaker then guides viewers through downloading and setting up the workflow, including saving a JSON file and downloading Lura files. They also discuss the process of using the workflow with Comfy UI and the importance of using the correct Lura model files. The video emphasizes the speed at which images can be created, even if they lack fine details due to low step and CFG counts.

05:00

🎨 Upscaling SDXL Images for Enhanced Detail

The second paragraph focuses on the upscaling process of SDXL images using the Ultimate SD Upscale method. The speaker uses a 4X upscale model and explains that the same settings used in the SDXL Lightning workflow can be applied here, including the four-step process, CFG scale, and the use of a uler sampler with an sgm uniform schedule. The result is a highly detailed 2048x2048 image that can be rendered quickly on a 3080ti. The speaker encourages viewers to experiment with the Lura model and expresses excitement about sharing a more comprehensive workflow with Patreon supporters in the future. The video concludes with a call to action for likes and a farewell message.

Keywords

SDXL Lightning

SDXL Lightning refers to a method or software tool that can render SDXL images incredibly quickly, as mentioned in the video, it can do so in only two steps. It is the main subject of the video, demonstrating its efficiency and potential for high-quality image rendering.

Workflow

A workflow in the context of this video is a sequence of steps or processes that are followed to achieve a certain outcome, such as rendering an image. The video discusses a basic workflow and a more advanced one available to Patron supporters, which includes additional features and controls.

Hugging Face

Hugging Face is mentioned as a platform where the viewer can see the capabilities of SDXL Lightning. It likely refers to a website or service that hosts or provides access to the technology being discussed, playing a role in the process of rendering images.

Raw

In the context of the video, 'Raw' refers to a type of file that is basic and unprocessed, which the user is instructed to download and save with a specific file extension (.json) for use in a particular software or application.

Lura files

Lura files are a type of file used in the rendering process described in the video. They are noted for being small in size, which is beneficial for downloading and managing. The video mentions different versions (two-step, four-step, eight-step) of these files, which likely correspond to different levels of detail or processing in the rendering.

Automatic 1111

Automatic 1111 seems to be a software or tool mentioned in the video where the Lura files are to be placed. It is implied that this tool cannot recognize .pth files, which is why the Lura files need to be in a specific folder structure for the process to work.

Checkpoint

A checkpoint in this video is a point in the rendering process where the image data is transferred from one stage to another. It is mentioned in the context of the model loader, indicating a step where the image data is prepared for further processing.

CFG count

CFG count likely stands for 'Configuration count' or a similar term related to the settings of the rendering process. It is mentioned in relation to the quality of the final image, suggesting that a higher CFG count could lead to more detail or sharpness in the rendered image.

VAE decoder

VAE decoder refers to a 'Variational Autoencoder' decoder, which is a part of the neural network used for generating the final image. It is a key component in the rendering process, taking the latent image and transforming it into a more detailed and recognizable form.

Ultimate SD upscale

Ultimate SD upscale is an upscaling method mentioned for enhancing the quality of the rendered image without significantly altering its content. It is used after the initial rendering to achieve a higher resolution, such as 2048x2048, with impressive results.

Patrons

Patrons, in the context of this video, are supporters who contribute to the creator's work, often gaining access to exclusive content or benefits. The video mentions that Patron supporters will receive a more detailed workflow and additional information.

Highlights

SDXL Lightning is a new method for rendering SDXL images in only two steps.

The basic workflow is included, but Patron supporters receive an enhanced workflow with additional tools and a detailed video explanation.

The process can be simplified to one step, but currently, it requires two steps for functionality.

Downloading the workflow involves accessing a specific file type and saving it as a .json file.

Lura files are required for the process and can be downloaded in various step counts for different quality levels.

The four-step Lura file is recommended for a balance between quality and speed.

The Lura file needs to be placed in a specific folder for the process to work correctly.

The future may bring compatibility with automatic 1111, but for now, the file must be manually placed.

An ultimate upscaler is added to the workflow for improved image quality.

The upscaling process works exceptionally well with the ultimate SD upscale method.

The use of the same settings in the ultimate SD upscaler as in the main process is a surprising and effective technique.

The result is a detailed 2048x2048 SDXL image that renders quickly on high-end hardware.

The method is best suited for images with a large subject, resulting in beautiful details.

The process is expected to improve with future model refinements and specialization.

Upscaling the image without changing its content is crucial for maintaining quality.

The video provides a demonstration of the entire process, from setup to final image rendering.

A more detailed workflow will be uploaded for Patreon supporters in the future.

The presenter encourages viewers to experiment with the workflow and provides a call to action for likes and subscriptions.