本模型属于LCM调优模型，名为Mexx_Mac。（起因是：我笔记本电脑是M1 Pro的，生成图片的速度太慢了，就想弄一个优秀的LCM模型日常使用，这样不用每次去租用显卡。）🔮推荐参数---------------------------------------------------------------------------------------------------------✅采样方法：DPM++ SDE Karras✅步数：3✅CFG：1🔮注意事项---------------------------------------------------------------------------------------------------------❎ 本模型未限制内容生成，请使用时格外注意。🔮Mac 速度---------------------------------------------------------------------------------------------------------以M1 Pro 32G为例，使用参数如下1. 使用SDE Karras采样器，出图10张，Time taken: 49.5 sec. 大约4.9秒一张图。- 采样方法：DPM++ SDE Karras- 步数：2- CFG：1.5- 图片尺寸： 512 x 7682. 使用SDE采样器，出图10张，Time taken: 49.6 sec. 大约4.9秒一张图。- 采样方法：DPM++ SDE，- 步数：2- CFG：1.5- 图片尺寸： 512 x 768🔮测试用例---------------------------------------------------------------------------------------------------------详细采样器的测试结果如下：1. CFG=1, Step=2<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/0ec72f1535ec296fc1b9468cc4f73300a1a1f7615bbbfa68f37ed3707e375134.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />2. CFG=1, Step=3<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/0865dc415b2af8de4fd331064dc0d7d2bec039b0ca4685491205beb4a2152811.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />3. CFG=1, Step=6<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/141f8f01d344ff8b86676a7300d655527574337fb35d20d1899d17204ff9d688.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />4. CFG=1.2, Step=3<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/4f4e762c9653e8a319acb03097a79d4f6100e84eca488277f42d023dda62ffcb.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />5. CFG=1.2, Step=6<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/4cf7aa196ac94ceda89857b2c4d989845792b2082cf6a7593543c1835dc00b79.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />6. CFG=1.5 Step=6<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/865dc807d19cc2e89960f1172f36b5a8366e2bdff814b8a68b070b9a964bea4e.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />7. CFG=2 Step=6<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/28645bbc874b0a4da3df4436371aa2c3a34142d2ef2b2918a32555f7dc3725f3.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />8. CFG=2.5 Step=6<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/2f0b53e27f0e0e6a5540b0100504fbbced855394c949c60e1395e5762e615513.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />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>✳️Thank You！My Wechat is：QQ1007872291<img src="https://liblibai-online.vibrou.com/img/0f37258e861044879b8728309c0ac3b0/10c07d8c4b03066a82bc21a6e23366cdefb4ab9b735412c971b6bd1a6b3df686.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt />

Mexx_Mac

本模型属于LCM调优模型，名为Mexx_Mac_LCM推荐参数-----------------------------------采样方法：DPM++ SDE Karras步数：2-4-----------------------------------本模型未限制内容生成，请使用时格外注意。

mexxMac_basic.safetensors

Basic

mexX_mac_lcm

This model belongs to the LCM tuning model, named Mexx_Mac, mainly with two versions: 1. Basic: Realistic model with clear textures, close to reality.2. YY: Softened whitening version, looks more beautiful. Comparison:<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/90f617f4c6fc3b820626a24efdfc28fdb36f8b1af1aa6d242138332b9f4f5595.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/90f617f4c6fc3b820626a24efdfc28fdb36f8b1af1aa6d242138332b9f4f5595.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style="width: 50%;"/> (The reason is: My laptop is M1 Pro, the speed of generating images is too slow, so I want to create an excellent LCM model for daily use, so I don't have to rent a GPU every time.) 🔮 Model Introduction (Basic version) 🔮 Recommended Parameters---------------------------------------------------------------------------------------------------------✅ Sampling method: DPM++ SDE Karras or Euler a✅ Steps: 3+✅ CFG: 1+ 🔮 Notes---------------------------------------------------------------------------------------------------------❎ This model is not limited to content generation, please use it with extra caution. 🔮 Mac Speed---------------------------------------------------------------------------------------------------------Take M1 Pro 32G as an example, using the parameters below1. Using SDE Karras sampler, generate 10 images, Time taken: 49.5 sec. Approximately 4.9 seconds per image.- Sampling method: DPM++ SDE Karras- Steps: 2- CFG: 1.5- Image size: 512 x 7682. Using SDE sampler, generate 10 images, Time taken: 49.6 sec. Approximately 4.9 seconds per image.- Sampling method: DPM++ SDE- Steps: 2- CFG: 1.5- Image size: 512 x 768 🔮 Test Case---------------------------------------------------------------------------------------------------------Results of detailed samplers are as follows:1. CFG=1, Step=2<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/0ec72f1535ec296fc1b9468cc4f73300a1a1f7615bbbfa68f37ed3707e375134.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/0ec72f1535ec296fc1b9468cc4f73300a1a1f7615bbbfa68f37ed3707e375134.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>2. CFG=1, Step=3<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/0865dc415b2af8de4fd331064dc0d7d2bec039b0ca4685491205beb4a2152811.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/0865dc415b2af8de4fd331064dc0d7d2bec039b0ca4685491205beb4a2152811.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>3. CFG=1, Step=6<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/141f8f01d344ff8b86676a7300d655527574337fb35d20d1899d17204ff9d688.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/141f8f01d344ff8b86676a7300d655527574337fb35d20d1899d17204ff9d688.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>4. CFG=1.2, Step=3<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/4f4e762c9653e8a319acb03097a79d4f6100e84eca488277f42d023dda62ffcb.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/4f4e762c9653e8a319acb03097a79d4f6100e84eca488277f42d023dda62ffcb.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>5. CFG=1.2, Step=6<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/4cf7aa196ac94ceda89857b2c4d989845792b2082cf6a7593543c1835dc00b79.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/4cf7aa196ac94ceda89857b2c4d989845792b2082cf6a7593543c1835dc00b79.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>6. CFG=1.5 Step=6<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/865dc807d19cc2e89960f1172f36b5a8366e2bdff814b8a68b070b9a964bea4e.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/865dc807d19cc2e89960f1172f36b5a8366e2bdff814b8a68b070b9a964bea4e.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>7. CFG=2 Step=6<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/28645bbc874b0a4da3df4436371aa2c3a34142d2ef2b2918a32555f7dc3725f3.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/28645bbc874b0a4da3df4436371aa2c3a34142d2ef2b2918a32555f7dc3725f3.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>8. CFG=2.5 Step=6<img src="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/2f0b53e27f0e0e6a5540b0100504fbbced855394c949c60e1395e5762e615513.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" alt="" data-href="https://liblibai-online.liblib.cloud/img/0f37258e861044879b8728309c0ac3b0/2f0b53e27f0e0e6a5540b0100504fbbced855394c949c60e1395e5762e615513.png?x-oss-process=image/resize,w_1290,m_lfit/format,webp" style=""/>

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