I found a new AI tool Shakker, a best image to image tool. You can try it via <a target="_blank" rel="ugc" href="https://www.shakker.ai">https://www.shakker.ai</a> SDXL 的 LCM2 的基础模型，做了一些调整和优化，所以不适用LCM采样器，对SDE类别的采样器十分友好。<hr />如果您不阅读繁琐的文档，那么这里推荐的配置如下：采样器：DPM++ SDE KarrasCFG：1.5-2.5步数：5<hr /><h3 id="heading-1525">采样器推荐</h3>针对SDE采样器比较友好，推荐采样器如下<ol><li>DPM++ SDE Karras - 速度慢，细节更完美（5步+）</li><li>DPM++ 2M SDE Karras - 速度快（5步+）</li><li>DPM++ SDE - 适合高步数(8步+)，速度慢，细节更完美</li></ol><hr /><h3 id="heading-1526">CFG 推荐</h3>CFG通常设置为1即可，可以调整为1-3，值越大，收拢速度越快，也就是可以使用更少的步数完成图片的生成。<hr /><h3 id="heading-140">测试用例</h3>Prompt: (Well-bred's works:1.13),a beautiful girl, 24yo, skinny, pretty, [k-pop:detailed eyes, detailed beautiful face:0.5],Negative Prompt: ng_deepnegative_v1_75t,negative_hand,disfigured,ugly,deformed,worst quality,low quality,extra limbs,extra legs,extra arms,deformed hands,deformed anatomy,umbrella,采样：DPM++ 2M SDE Karras 或者 DPM++ SDE Karras步骤：5+尺寸：768 x 1024 以上<hr /><h3 id="heading-1527">采样器测试</h3>以5步为例，不同采样器效果如下<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b52f601c-4fae-4773-a658-51fc55225c3f/width=525/b52f601c-4fae-4773-a658-51fc55225c3f.jpeg" />以10步为例，不同采样器效果如下<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/faf4d532-4b92-45bc-962d-e05468fc431f/width=525/faf4d532-4b92-45bc-962d-e05468fc431f.jpeg" />以20步为例，不同采样器效果如下<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ff1ec001-10a0-4e2d-aec5-b618fc434126/width=525/ff1ec001-10a0-4e2d-aec5-b618fc434126.jpeg" /><hr /><h3 id="heading-1528">DPM++ 2M SDE Karras 步数测试</h3>DPM++ 2M SDE Karras比较适合快速抽卡，从1步到8步的效果如下<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f7562aa5-756e-4aae-80eb-1f1289fe9844/width=525/f7562aa5-756e-4aae-80eb-1f1289fe9844.jpeg" />第4步就形成了可用的图像，随着步数的增加，细节逐渐完善。更多测试报告:<a target="_blank" rel="ugc" href="https://www.yuque.com/mengxiangyuan-7fhri/eo7oa2/gtifyimxamueeixg?singleDoc#">https://www.yuque.com/mengxiangyuan-7fhri/eo7oa2/gtifyimxamueeixg?singleDoc#</a> 《SDXL-LCM采样器测试报告》<hr />My Github:<a target="_blank" rel="ugc" href="https://github.com/SoftMeng/ComfyUI_Mexx_Styler">https://github.com/SoftMeng/ComfyUI_Mexx_Styler</a><a target="_blank" rel="ugc" href="https://github.com/SoftMeng/ComfyUI_Mexx_Poster">https://github.com/SoftMeng/ComfyUI_Mexx_Poster</a><a target="_blank" rel="ugc" href="https://github.com/SoftMeng/ComfyUI_Mexx_Image_Mask">https://github.com/SoftMeng/ComfyUI_Mexx_Image_Mask</a><a target="_blank" rel="ugc" href="https://github.com/SoftMeng/stable-diffusion-prompt-pai">https://github.com/SoftMeng/stable-diffusion-prompt-pai</a><a target="_blank" rel="ugc" href="https://github.com/SoftMeng/Fooocus-zh">https://github.com/SoftMeng/Fooocus-zh</a>Or My LibLib:<a target="_blank" rel="ugc" href="https://www.liblib.art/userpage/0f37258e861044879b8728309c0ac3b0/publish">https://www.liblib.art/userpage/0f37258e861044879b8728309c0ac3b0/publish</a>

MexxL_LCM2

LCM的基础模型，我是用以下参数进行测试的,有不错的效果Prompt: a beautiful girl,Negative Prompt: ng_deepnegative_v1_75t,negative_hand,disfigured,ugly,deformed,worst quality,low quality,extra limbs,extra legs,extra arms,deformed hands,deformed anatomy,umbrella,采样：DPM++ SDE （效果最好） 或者 DPM++ 2M Karras （速度快些）步骤：5尺寸：768 x 1024 以上

mexxlLCM2_v10.safetensors

v1.0

mexXL_lcm2

The basic model of SDXL's LCM2 has been adjusted and optimized, so it is not suitable for LCM samplers and is very friendly to SDE samplers. (Contact me on WeChat: QQ1007872291)
<hr/>
If you don't read tedious documentation, then the recommended configuration here is as follows:
Sampler: DPM++ SDE Karras
CFG: 2 Steps:
5
<hr/>
Sampler Recommended
for SDE
The sampler is relatively friendly, the recommended sampler is as follows
1. DPM++ SDE Karras - slow speed, more perfect detail (5 steps +)
2. DPM++ 2M SDE Karras - fast (5 steps +)
3. DPM++ SDE - suitable for high steps (8 steps+), slow speed, more perfect details
CFG recommended
<hr/>
CFG is usually set to 1, and can be adjusted to 1-3. The higher the value, the faster the folding speed, that is, the image can be generated using fewer steps.
<hr/>
Test case
Prompt: (Well-Bred's works: 1.13), a beautiful girl, 24yo, skinny, pretty, [k-pop: detailed eyes, detailed beautiful face: 0.5],
Negative Prompt:
ng_deepnegative_v1_75t, negative_hand, disfigured, ugly, deformed, worst quality, low quality, extra legs, extra arms, deformed hands, deformed anatomy, umbrella, sampling: DPM++
2M SDE Karras or DPM++ SDE Karras
Step: 5+ Size: 768 x 1024 or above Sampler tes* ***ng 5 steps
as an example, the effects of the different samplers are as follows
<hr/>
<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b52f601c-4fae-4773-a658-51fc55225c3f/width=525/b52f601c-4fae-4773-a658-51fc55225c3f.jpeg" alt="" data-href="" style=""/>
in 10 steps For example,
the effects of different samplers are as follows
<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/faf4d532-4b92-45bc-962d-e05468fc431f/width=525/faf4d532-4b92-45bc-962d-e05468fc431f.jpeg" alt="" data-href="" style=""/>
in 20 steps For example,
the effects of different samplers are as follows
<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ff1ec001-10a0-4e2d-aec5-b618fc434126/width=525/ff1ec001-10a0-4e2d-aec5-b618fc434126.jpeg" alt="" data-href="" style=""/>
<hr/>
DPM++ 2M SDE Karras step count test
DPM++ 2M SDE Karras is more suitable for fast card drawing. The results of steps 1 to 8 are as follows
<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f7562aa5-756e-4aae-80eb-1f1289fe9844/width=525/f7562aa5-756e-4aae-80eb-1f1289fe9844.jpeg" alt="" data-href="" style=""/>
Step 4 is A usable image was formed, and the details gradually improved as the number of steps increased.
More test reports: <a href="https://www.yuque.com/mengxiangyuan-7fhri/eo7oa2/gtifyimxamueeixg?singleDoc#" target="_blank"> </a>
https://www.yuque.com/mengxiangyuan-7fhri/eo7oa2/gtifyimxamueeixg?singleDoc # SDXL-LCM Sampler Test Report My Github: 
<a href="https://github.com/SoftMeng/ComfyUI_Mexx_Styler" target="_blank">https://github.com/SoftMeng/ComfyUI_Mexx_Styler</a>
<a href="https://github.com/SoftMeng/ComfyUI_Mexx_Poster" target="_blank">https://github.com/SoftMeng/ComfyUI_Mexx_Poster</a>
<a href="https://github.com/SoftMeng/ComfyUI_Mexx_Image_Mask" target="_blank">https://github.com/SoftMeng/ComfyUI_Mexx_Image_Mask</a>
<a href="https://github.com/SoftMeng/stable-diffusion-prompt-pai" target="_blank">https://github.com/SoftMeng/stable-diffusion-prompt-pai</a>
<a href="https://github.com/SoftMeng/Fooocus-zh</a>
Or My libLib: 
<a href="https://www.liblib.art/userpage/0f37258e861044879b8728309c0ac3b0/publish" target="_blank">https://www.liblib.art/userpage/0f37258e861044879b8728309c0ac3b0/publish</a>

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