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After the official update on June 29, 2024, ComfyUI added a new sampler "Euler_CFG++". This sampler cannot be directly selected in the sampler for the time being. It needs to be input into the K sampler by adding the "SamplerEulerCFGpp" node.

After testing, this "Euler_CFG++" can increase the quality and details of the image at low CFG values. And it has better results than the fast version generation such as "Lightning" or "Turbo".

Using "Euler_CFG++" does not require additional downloading of models and plug-ins, just update ComfyUI to the latest version to enjoy it.

More description and tests about "CFG++":

https://github.com/CFGpp-diffusion/CFGpp

https://arxiv.org/abs/2406.08070

https://cfgpp-diffusion.github.io/

https://github.com/CFGpp-diffusion/CFGpp/tree/main/examples

The models used in this evaluation are LEOSAM HelloWorld SDXL-Lightning, DreamShaper XL Turbo, and Juggernaut XL Lightning.

This workflow is about the basic alignment workflow of "Euler_CFG++". You can refer to this node to other workflows.

When using "Lightning" or "Turbo" Checkpoint, I think I will make CFG++ one of my must-have nodes. After all, it does have an improvement effect. Of course, I hope it will be the same for you.

ComfyUI官方在2024.6.29日更新后，添加了一个新的采样器“Euler_CFG++ ”，这个采样器暂时无法在采样器中直接选择，需要通过添加“SamplerEulerCFGpp”这个节点输入到K采样器中。

经过测试，这个“Euler_CFG++ ”可以在低CFG值时，增加图像的质量和细节。并且与“Lightning”或“Turbo”这样的快速版生成对比有更好的效果。

使用“Euler_CFG++ ”无需额外下载模型和插件，只需将ComfyUI更新到最新版即可享用。

更多关于“CFG++ ”的说明和测试：

https://github.com/CFGpp-diffusion/CFGpp

https://arxiv.org/abs/2406.08070

https://cfgpp-diffusion.github.io/

https://github.com/CFGpp-diffusion/CFGpp/tree/main/examples

本次评测用到的模型是LEOSAM HelloWorld SDXL-Lightning、DreamShaper  XL Turbo、Juggernaut XL Lightning 。

这个工作流是关于“Euler_CFG++ ”的基础比对工作流，你们可以把此节点引用到其他工作流中尝试。

在用“Lightning”或“Turbo”的Checkpoint时，我想我会将CFG++作为我的必备节点之一，毕竟目前来看的确有提升效果。当然，希望对你也是如此。