Nintendo Switch-chan | Merryweather <h3 id="heading-8"><a target="_blank" rel="ugc" href="https://civarchive.com/articles/114">The Gijinka Series</a> </h3>Weight can go from 0.5 up to 1.0. I recommend 0.8. Works with almost every Style, every Concept and Photorealistic Models.V2:Trigger Words:<ul><li>SwitchchanDefault for more flexibility with other clothing.</li><li>SwitchchanOutfit for her normal Outfit</li></ul>Helping prompt:red eyes, blue eyes, heterochromiaV1:Trigger Word:Switch-chanHow to use LoRA's in auto1111:<ul><li>Download LoRA</li><li>Copy the file to <code>stable-diffusion-webui/models/lora</code></li><li>Select your LoRA and use the triggerword</li><li>Make sure to change the weight if needed (by default it's <code>:1</code>)</li><li>Have Fun!</li></ul>

Nintendo Switch-chan | Merryweather

Chnaged tagging:<ul><li>SwitchchanDefault for more flexibility with other clothing.</li></ul><ul><li>SwitchchanOutfit for her normal Outfit</li></ul>

Switchchan.safetensors

v2.0

v1.0

Nintendo Switch-chan | Merryweather <h3 id="heading-8"><a target="_blank" rel="ugc" href="https://civitai.com/articles/114">The Gijinka Series</a> </h3>Weight can go from 0.5 up to 1.0. I recommend 0.8. Works with almost every Style, every Concept and Photorealistic Models.V2:Trigger Words:<ul><li>SwitchchanDefault for more flexibility with other clothing.</li><li>SwitchchanOutfit for her normal Outfit</li></ul>Helping prompt:red eyes, blue eyes, heterochromiaV1:Trigger Word:Switch-chanHow to use LoRA's in auto1111:<ul><li>Download LoRA</li><li>Copy the file to <code>stable-diffusion-webui/models/lora</code></li><li>Select your LoRA and use the triggerword</li><li>Make sure to change the weight if needed (by default it's <code>:1</code>)</li><li>Have Fun!</li></ul>

&lt;p&gt;Chnaged tagging:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;SwitchchanDefault for more flexibility with other clothing.&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;SwitchchanOutfit for her normal Outfit&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;

Files with SHA256: 089888ed4193df8fc3bc71887d90442314371f41f91ff4bd0a8a83cb01de3251