真实感ComfyUI Extreme detail control Ksampler for SDXL

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If you appreciate this contribution and would like to support future developments, feel free to check my ko-fi !


Introducing the SDXL-dedicated KSampler Node for ComfyUI

Hello ComfyUI enthusiasts,

I am thrilled to introduce a brand-new custom node for our beloved interface, ComfyUI. Designed to handle SDXL, this ksampler node has been meticulously crafted to provide you with an enhanced level of control over image details like never before.

Traditionally, working with SDXL required the use of two separate ksamplers—one for the base model and another for the refiner model. However, with the new custom node, I've combined the functionality of these two ksamplers into a single unit. This node not only manages both the base and the refiner models of SDXL, but it also handles the noise necessary for generating the images.

What does this mean for you? Precision. With this custom node, you can control noise levels with an unprecedented level of detail, leading to more nuanced and compelling outputs. The node is also integrated with a function to rescale the tonemap courtesy of the original developer, comfyanonymous, allowing a higher CFG scale to be used.

To integrate the noise control functionality, I've used functions developed by BlenderNeko. His brilliant work on noise control can be found on his Github page .

This SDXL-dedicated ksampler node is a labor of love, designed to streamline your creative process and elevate your outputs. I believe that tools should work for the user, not the other way around, and this custom node aims to do exactly that.

You can get started with the node on ComfyUI's Github page .

If you appreciate this contribution and would like to support future developments, feel free to visit my Buy Me a Coffee page . Any support goes a long way in fueling my efforts to continue enhancing our creative journey.

Let's continue making ComfyUI even better, together.

To creativity and beyond!

edit: added workflows to the archive!

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模型类型:Other
基础算法:基础算法 XL
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文件格式: zip
最近更新:2024-02-10 01:27
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