LCM&TurboMix LoRA (Only 12MB, 8-step sampling Effect is superior to using LCM or Turbo alone!)

This is a fusion LoRA model of SDXL LCM LoRA and SDXL Turbo LoRA. The inspiration for its creation came about when I was developing the LEOSAM HelloWorld Turbo+LCM version and discovered that the combination of these two technologies yielded the best image generation results.

As a result, I merged this fusion model, in which the merge ratio of LCM and Turbo LoRA has been optimized by me. The size of this model has been resized to rank 1, with only 12.3MB. At the same time, the optimal weight for LORA has been adjusted to 1. It’s very convenient to use. Everyone is welcome to experience it!

The following demonstrates the image generation results when using the Eular A sampler for 8 steps with HelloWorld 2.0 combined with LCM & TurboMix LoRA, LCM LoRA, and Turbo LoRA respectively.

It can be seen that LCM & TurboMix LoRA achieves the most balanced results between facial influence and image clarity.

The recommended parameters for generating images with this model are:

LoRA Weight: Around 1

Sampler: Eular a (Important! The model is specifically adapted to Eular a, other samplers may not yield as good results)

CFG scale: 2 (Important! It is recommended to have a CFG scale between 1.5~2.5)

Sampling steps: 8 steps (6~8 steps are acceptable)

Hires algorithm: ESRGAN 4x (Other upscaling algorithms can also be used, not a mandatory option. Please ensure that your GPU memory is sufficient)

Hires Upscale factor: 1.5x

Hires steps: 8 steps

Hires Denoising strength: 0.3

这是一个SDXL LCM LoRA和SDXL Turbo LoRA的融合LoRA模型，起因于我在制作LEOSAM HelloWorld Turbo+LCM版本时，发现这两种技术结合使用时，生图效果是最好的，因此我制作了这个融合版本的模型。

LCM和turbo lora的融合比例经过我的调节寻优，同时这个模型的体积已经resize至rank 1，只有12.3MB大小。同时LORA最佳权重已经调整至1。使用上非常方便。欢迎大家体验！

上方图展示了HelloWorld 2.0分别搭配LCM&TurboMix LoRA、 LCM LoRA、Turbo LoRA时，使用Eular A采样器采样8步时的出图效果。可以看出LCM&TurboMix LoRA拥有脸型影响和图像清晰度之间最平衡的结果。

本模型推荐的生图参数：

LoRA 使用权重：1左右

采样器：Eular A（重要！模型针对Eular a专门适配，其他采样器效果不佳）

采样步数：8步（6~8步均可）

CFG scale：2（重要！对于LCM模型，CFG scale建议1.5~2.5）

放大算法：ESRGAN 4x（其他放大算法也可以，非必须选项，请确保GPU显存充足）

放大倍数：1.5倍

放大步数：8步

放大降噪系数：0.3