SDXL Lightning is SUPER FAST! Only 2 Steps to Render!
TLDRIn this video, the presenter introduces SDXL Lightning, a groundbreaking tool that can render SDXL images with remarkable speed, requiring only two steps. The video outlines a basic workflow for using SDXL Lightning, with an option for Patreon supporters to access an advanced workflow featuring additional tools like ControlNet, IPA Face Detailer, and an Upscaler. The presenter demonstrates how to download and use the workflow, as well as the necessary Lura files for different rendering steps. They highlight that the four-step Lura model offers better quality and discuss the compatibility with Automatic1111. The video also showcases the use of the Ultimate SD Upscale for enhancing image details without altering the content. The presenter concludes by encouraging viewers to experiment with the tool and promises to share a more detailed workflow for Patreon supporters in the future.
Takeaways
- 🌟 SDXL Lightning is a tool that can render SDXL images incredibly fast, in just two steps.
- 🎥 The basic workflow is included, but Patreon supporters get an enhanced version with additional features.
- 📄 To use SDXL Lightning, 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 designated folder.
- 🔍 The Lura files are small in size, with options for two-step, four-step, and eight-step versions available.
- 📈 The four-step Lura file is recommended for a balance between quality and speed.
- 🚀 For the best results, use an image size of 1024 by 1024 pixels with the current setup.
- 🔍 The process works best for images with a prominent subject, which will display enhanced details.
- 📱 The future may bring improvements with more specialized models for this rendering process.
- 🌐 Upscaling can be done using the Ultimate SD upscaler or a similar method to maintain the image content.
- 🔧 The Ultimate SD upscaler can use the same settings as the SDXL Lightning for consistent results.
- ⏱️ The demonstration resulted in a detailed 2048x2048 SDXL image rendered in just 20 seconds on a 3080ti.
Q & A
What is the name of the tool that can render SDXL images in only two steps?
-The tool is called SDXL Lightning.
What is the basic workflow included for SDXL Lightning?
-The basic workflow includes downloading the workflow file, saving it as a .json file on the hard drive, and then opening it in Comfy UI.
What does the term 'Lura files' refer to in the context of SDXL Lightning?
-Lura files refer to the model files required for SDXL Lightning to function, which are small in size and can be downloaded from the SDXL Lightning page.
What is the recommended image size for the best results with SDXL Lightning?
-The recommended image size is 1024 by 1024 pixels.
What is the difference between the two-step, four-step, and eight-step Lura files?
-The difference lies in the quality and detail of the rendered image, with the four-step Lura file providing a better quality than the two-step, and the eight-step offering even more detail.
Why is the four-step Lura file preferred over the two-step or eight-step?
-The four-step Lura file is preferred because it offers a good balance between quality and render time, providing better quality than the two-step without the increased render time of the eight-step.
What is the role of the 'ultimate upscaler' in the process?
-The 'ultimate upscaler' is used to upscale the rendered image without significantly changing its content, resulting in a more detailed and higher resolution image.
What is the recommended upscaling method to use with SDXL Lightning?
-The recommended upscaling method is the Ultimate SD upscale or a similar upscaling method that uses the same Lura model for upscaling.
What is the advantage of using the Ultimate SD upscaler with the same settings as SDXL Lightning?
-Using the same settings allows the Ultimate SD upscaler to use the same Lura model for upscaling, which can result in a detailed and high-quality 2048x2048 SDXL image.
How long does it take to render a 2048x2048 SDXL image on a 3080ti using the described process?
-It takes 20 seconds flat to render a 2048x2048 SDXL image on a 3080ti using the described process.
What additional content will be provided to Patreon supporters?
-Patreon supporters will receive a more detailed workflow that includes control net, IPA face detailer, upscaler, and a video explaining all the features.
What is the significance of the 'CFG count' in the context of SDXL Lightning?
-The 'CFG count' refers to the configuration settings that influence the detail and sharpness of the rendered image; a very low CFG count results in a faster render but less detail.
Outlines
🚀 Introduction to SDXL Lightning and Workflow
The speaker introduces the audience to SDXL Lightning, a tool that can render SDXL images in a quick two-step process. A basic workflow is provided for viewers, while Patreon supporters receive an enhanced version with additional features like ControlNet, IPA Face Detailer, and an Upscale. The process involves downloading a workflow file from the Hugging Face page, saving it as a JSON file, and using it with the Lora files available from the SDXL Lightning page. The speaker emphasizes the small file size of Lora files and their ease of use. The four-step Lora is mentioned as a good quality choice. The workflow is then opened in Comfy UI, and an Ultimate Upscaler is added for further image enhancement. The video concludes with a teaser for a more detailed workflow to be released the next day for Patreon supporters.
📈 Upscaling SDXL Images with Ultimate SD Upscale
The speaker demonstrates how to upscale SDXL images using the Ultimate SD Upscale method. They use the 4X upscale SP model with a CFG scale of 178,000. The surprising aspect is that the same settings used in the Ultimate SD Upscale can also be applied to the SDXL Lightning process, as they share the same Lora model. The speaker sets the upscale to two times and is amazed by the detailed 2048x2048 SDXL image that renders in just 20 seconds on a 3080ti. The video ends with a call to action for viewers to like the video, and a note that a more comprehensive workflow will be shared with Patreon supporters the following day.
Mindmap
Keywords
💡SDXL Lightning
💡Workflow
💡Hugging Face
💡ControlNet
💡IPA Face Detailer
💡Upscaler
💡Lura Files
💡Two-Step, Four-Step, Eight-Step
💡CFG Count
💡null
💡VAE Decoder
💡Ultimate SD Upscale
Highlights
SDXL Lightning is a new method that can render SDXL images in just two steps.
The basic workflow is included, but Patron supporters get an enhanced version with additional features.
The process can be further simplified to one step, but currently, it requires two steps for functionality.
Downloading the workflow involves accessing a JSON file and saving it locally.
Lura files are required for the process and are available in various step counts for customization.
The four-step Lura file is noted for providing 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, it's placed in the Lura folder.
An ultimate upscaler is added to the workflow for improved image quality.
The use of the ultimate upscaler with the same settings as the initial process is a surprising and effective technique.
The process works best with images where the subject occupies a large portion of the frame.
The SDXL Lightning method is expected to improve with future model refinements.
Upscaling the image using the ultimate SD upscaler or similar methods retains the image content without significant alterations.
The upscaled image can achieve a high resolution of 2048x2048 in a short amount of time.
The video demonstrates how to achieve fast rendering times, even on powerful hardware like the 3080ti.
A more detailed workflow will be uploaded for Patreon supporters in the future.
The presenter encourages viewers to experiment with the Lura to achieve amazing and fun results.
The video concludes with a call to action for likes and an anticipation for future content.