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style="--button-height:var(--button-height-compact-sm);--button-padding-x:var(--button-padding-x-compact-sm);--button-fz:var(--mantine-font-size-sm);--button-radius:var(--mantine-radius-sm);--button-bg:var(--mantine-color-blue-light);--button-hover:var(--mantine-color-blue-light-hover);--button-color:var(--mantine-color-blue-light-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid transparent;padding-block:calc(0.5rem * var(--mantine-scale));height:auto" class="mantine-focus-auto mantine-active h-auto !px-2 py-2 @md:rounded-r-none @md:pr-1 m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="light" data-size="compact-sm" type="button" data-activity="create:navbar"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-brush "><path d="M3 21v-4a4 4 0 1 1 4 4h-4"></path><path d="M21 3a16 16 0 0 0 -12.8 10.2"></path><path d="M21 3a16 16 0 0 1 -10.2 12.8"></path><path d="M10.6 9a9 9 0 0 1 4.4 4.4"></path></svg><p class="mantine-focus-auto hide-mobile m_b6d8b162 mantine-Text-root" data-inline="true" data-inherit="true">Create</p></span></span></button><button style="--button-radius:var(--mantine-radius-sm);--button-bg:var(--mantine-color-blue-light);--button-hover:var(--mantine-color-blue-light-hover);--button-color:var(--mantine-color-blue-light-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid transparent;padding-inline:calc(0.25rem * var(--mantine-scale));padding-block:calc(0.5rem * var(--mantine-scale));height:auto" class="mantine-focus-auto mantine-active rounded-l-none @max-md:hidden m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="light" type="button"><span class="m_80f1301b 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0a7 7 0 1 0 14 0a7 7 0 1 0 -14 0"></path><path d="M21 21l-6 -6"></path></svg></span></button><button class="mantine-focus-auto flex items-center hover:bg-gray-1 @md:rounded-[32px] dark:hover:bg-dark-5 m_87cf2631 mantine-UnstyledButton-root" type="button" aria-haspopup="dialog" aria-expanded="false" aria-controls="mantine-R7mpdhda9iit6-dropdown" id="mantine-R7mpdhda9iit6-target"><div class="flex items-center gap-2 @max-md:hidden hidden"><div style="--group-gap:calc(0.5rem * var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:nowrap" class="m_4081bf90 mantine-Group-root"><div style="--indicator-size:calc(1rem * var(--mantine-scale));--indicator-bottom:calc(0.4375rem * var(--mantine-scale));--indicator-right:calc(0.4375rem * var(--mantine-scale));--indicator-translate-x:50%;--indicator-translate-y:50%" class="m_e5262200 mantine-Indicator-root"><div style="--avatar-size:var(--avatar-size-md);--avatar-radius:var(--mantine-radius-xl);background-color:rgba(255,255,255,0.31)" class="m_f85678b6 mantine-Avatar-root" data-size="md"><span class="m_104cd71f mantine-Avatar-placeholder"><svg data-avatar-placeholder-icon="true" viewBox="0 0 15 15" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0.877014 7.49988C0.877014 3.84219 3.84216 0.877045 7.49985 0.877045C11.1575 0.877045 14.1227 3.84219 14.1227 7.49988C14.1227 11.1575 11.1575 14.1227 7.49985 14.1227C3.84216 14.1227 0.877014 11.1575 0.877014 7.49988ZM7.49985 1.82704C4.36683 1.82704 1.82701 4.36686 1.82701 7.49988C1.82701 8.97196 2.38774 10.3131 3.30727 11.3213C4.19074 9.94119 5.73818 9.02499 7.50023 9.02499C9.26206 9.02499 10.8093 9.94097 11.6929 11.3208C12.6121 10.3127 13.1727 8.97172 13.1727 7.49988C13.1727 4.36686 10.6328 1.82704 7.49985 1.82704ZM10.9818 11.9787C10.2839 10.7795 8.9857 9.97499 7.50023 9.97499C6.01458 9.97499 4.71624 10.7797 4.01845 11.9791C4.97952 12.7272 6.18765 13.1727 7.49985 13.1727C8.81227 13.1727 10.0206 12.727 10.9818 11.9787ZM5.14999 6.50487C5.14999 5.207 6.20212 4.15487 7.49999 4.15487C8.79786 4.15487 9.84999 5.207 9.84999 6.50487C9.84999 7.80274 8.79786 8.85487 7.49999 8.85487C6.20212 8.85487 5.14999 7.80274 5.14999 6.50487ZM7.49999 5.10487C6.72679 5.10487 6.09999 5.73167 6.09999 6.50487C6.09999 7.27807 6.72679 7.90487 7.49999 7.90487C8.27319 7.90487 8.89999 7.27807 8.89999 6.50487C8.89999 5.73167 8.27319 5.10487 7.49999 5.10487Z" fill="currentColor" fill-rule="evenodd" clip-rule="evenodd"></path></svg></span></div></div></div></div><div class="Burger_root__0ZjJO"><div class="Burger_burger__oacyO"></div></div></button></div></div></div></div></header><div class="flex flex-1 overflow-hidden"><div class="scroll-area flex-1 @container "><main class="flex-1"><div class="sticky inset-x-0 top-0 z-50 mb-3 bg-gray-1 shadow transition-transform dark:bg-dark-6"><div class="flex items-center justify-between gap-2 px-2 py-1 flex-wrap"><div class="flex items-center gap-1 overflow-x-auto overflow-y-hidden text-black @md:overflow-visible dark:text-white"><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-home "><path d="M5 12l-2 0l9 -9l9 9l-2 0"></path><path d="M5 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class="tabler-icon tabler-icon-category "><path d="M4 4h6v6h-6z"></path><path d="M14 4h6v6h-6z"></path><path d="M4 14h6v6h-6z"></path><path d="M17 17m-3 0a3 3 0 1 0 6 0a3 3 0 1 0 -6 0"></path></svg><span class="text-base font-medium capitalize">models</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/images"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-photo "><path d="M15 8h.01"></path><path d="M3 6a3 3 0 0 1 3 -3h12a3 3 0 0 1 3 3v12a3 3 0 0 1 -3 3h-12a3 3 0 0 1 -3 -3v-12z"></path><path d="M3 16l5 -5c.928 -.893 2.072 -.893 3 0l5 5"></path><path d="M14 14l1 -1c.928 -.893 2.072 -.893 3 0l3 3"></path></svg><span class="text-base font-medium capitalize">images</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/videos"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-video "><path d="M15 10l4.553 -2.276a1 1 0 0 1 1.447 .894v6.764a1 1 0 0 1 -1.447 .894l-4.553 -2.276v-4z"></path><path d="M3 6m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path></svg><span class="text-base font-medium capitalize">videos</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 HomeContentToggle_groupedOptions__UZrsL m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/posts"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-layout-list "><path d="M4 4m0 2a2 2 0 0 1 2 -2h12a2 2 0 0 1 2 2v2a2 2 0 0 1 -2 2h-12a2 2 0 0 1 -2 -2z"></path><path d="M4 14m0 2a2 2 0 0 1 2 -2h12a2 2 0 0 1 2 2v2a2 2 0 0 1 -2 2h-12a2 2 0 0 1 -2 -2z"></path></svg><span class="text-base font-medium capitalize">posts</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/articles"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-file-text "><path d="M14 3v4a1 1 0 0 0 1 1h4"></path><path d="M17 21h-10a2 2 0 0 1 -2 -2v-14a2 2 0 0 1 2 -2h7l5 5v11a2 2 0 0 1 -2 2z"></path><path d="M9 9l1 0"></path><path d="M9 13l6 0"></path><path d="M9 17l6 0"></path></svg><span class="text-base font-medium capitalize">articles</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 HomeContentToggle_groupedOptions__UZrsL m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/bounties"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-moneybag "><path d="M9.5 3h5a1.5 1.5 0 0 1 1.5 1.5a3.5 3.5 0 0 1 -3.5 3.5h-1a3.5 3.5 0 0 1 -3.5 -3.5a1.5 1.5 0 0 1 1.5 -1.5"></path><path d="M4 17v-1a8 8 0 1 1 16 0v1a4 4 0 0 1 -4 4h-8a4 4 0 0 1 -4 -4"></path></svg><span class="text-base font-medium capitalize">bounties</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 HomeContentToggle_groupedOptions__UZrsL m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/challenges"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-trophy "><path d="M8 21l8 0"></path><path d="M12 17l0 4"></path><path d="M7 4l10 0"></path><path d="M17 4v8a5 5 0 0 1 -10 0v-8"></path><path d="M5 9m-2 0a2 2 0 1 0 4 0a2 2 0 1 0 -4 0"></path><path d="M19 9m-2 0a2 2 0 1 0 4 0a2 2 0 1 0 -4 0"></path></svg><span class="text-base font-medium capitalize">challenges</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 HomeContentToggle_groupedOptions__UZrsL m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/events"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-calendar "><path d="M4 7a2 2 0 0 1 2 -2h12a2 2 0 0 1 2 2v12a2 2 0 0 1 -2 2h-12a2 2 0 0 1 -2 -2v-12z"></path><path d="M16 3v4"></path><path d="M8 3v4"></path><path d="M4 11h16"></path><path d="M11 15h1"></path><path d="M12 15v3"></path></svg><span class="text-base font-medium capitalize">events</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 HomeContentToggle_groupedOptions__UZrsL m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/changelog"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-contract "><path d="M8 21h-2a3 3 0 0 1 -3 -3v-1h5.5"></path><path d="M17 8.5v-3.5a2 2 0 1 1 2 2h-2"></path><path d="M19 3h-11a3 3 0 0 0 -3 3v11"></path><path d="M9 7h4"></path><path d="M9 11h4"></path><path d="M18.42 12.61a2.1 2.1 0 0 1 2.97 2.97l-6.39 6.42h-3v-3z"></path></svg><span class="text-base font-medium capitalize">updates</span></span></span></a><a style="--button-bg:var(--mantine-color-default);--button-hover:var(--mantine-color-default-hover);--button-color:var(--mantine-color-default-color);--button-bd:calc(0.0625rem * var(--mantine-scale)) solid var(--mantine-color-default-border)" class="mantine-focus-auto mantine-active h-8 overflow-visible rounded-full border-none py-2 pl-3 pr-4 HomeContentToggle_tabHighlight__cnktC m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="default" href="/shop"><span class="m_80f1301b mantine-Button-inner"><span class="flex gap-2 items-center capitalize overflow-visible m_811560b9 mantine-Button-label"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-shopping-bag "><path d="M6.331 8h11.339a2 2 0 0 1 1.977 2.304l-1.255 8.152a3 3 0 0 1 -2.966 2.544h-6.852a3 3 0 0 1 -2.965 -2.544l-1.255 -8.152a2 2 0 0 1 1.977 -2.304z"></path><path d="M9 11v-5a3 3 0 0 1 6 0v5"></path></svg><span class="text-base font-medium capitalize">shop</span></span></span></a><button 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id=\"2dn-illust-v2.0\"\u003e\u003cspan style=\"color:rgb(34, 139, 230)\"\u003e\u003cstrong\u003e2DN-Illust\u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"color:rgb(130, 201, 30)\"\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"color:rgb(21, 170, 191)\"\u003e\u003cstrong\u003ev2.0\u003c/strong\u003e\u003c/span\u003e\u003c/h2\u003e\u003cp\u003e\u003cspan\u003eCurrently, my best model! It includes training information from realistic gens, anime and fantasy, and allows you to mix all of those! Works perfectly well with Illustrious and NoobAI (NAI) LoRAs, allowing you to leverage data other models don't have. IMPORTANT INFORMATION:\u003c/span\u003e\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eFor reasons, the model is biased toward teal/green tints, especially for realism, use \"green theme\" in your negative prompt to remove this green look.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eFor landscapes and backgrounds, use around 35-50 HIRES steps.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eLook at the metadata, the little (i) icon on the preview images to learn about the prompts and settings I used. I use reForge. \u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eAvoid using expression prompts like \"smile\" in realistic images, it will use the anime data and give you something incredibly creepy. Use (smile:0.1) etc to weaken the creepy effect. \u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003ch2 id=\"2dn-nai-v2.0-yang\"\u003e\u003cspan style=\"color:rgb(230, 73, 128)\"\u003e\u003cstrong\u003e2DN-NAI v2.0 \u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"color:rgb(255, 117, 166)\"\u003e\u003cstrong\u003eYANG\u003c/strong\u003e\u003c/span\u003e阳\u003c/h2\u003e\u003cp\u003eJust as detailed as v2.0 YIN阴, but creamier, gentler and brighter. What I mean to say is: it's not as bonkers on contrast and SD1.5-like compositions, but it still packs a punch. For reference ALL of the preview images have the same settings, prompt and seed as the 阴versions, so you can compare them directly. And also, it's way way more creative as a model, expect surprises, pleasant ones! It also responds much better to LoRAs, meaning you can go ham with style and character models. It may seem a bit pale, but you can control this with various style LoRAs really well.\u003c/p\u003e\u003ch2 id=\"2dn-nai-v2.0-yin\"\u003e\u003cspan style=\"color:rgb(230, 73, 128)\"\u003e\u003cstrong\u003e2DN-NAI v2.0 \u003c/strong\u003e\u003c/span\u003e\u003cspan style=\"color:rgb(255, 117, 166)\"\u003e\u003cstrong\u003eYIN\u003c/strong\u003e\u003c/span\u003e阴\u003c/h2\u003e\u003cp\u003eMy best realistic model now goes a bit HARDER! See previous version for description. None of the preview images use ADetailer, the model does it's best to make details happen. Use minimal steps for reasonable results (higher step counts will produce high contrast). Overall, this model is: very fast, sharp and great for vibrant gens using NoobAI tags.\u003c/p\u003e\u003cp\u003eCarried by an asian/anime aesthetic, it excels at NSFW gens - essentially stuff you can't get easily with ChatGPT/Gemini.\u003c/p\u003e\u003ch2 id=\"2dn-anime-v3.0\"\u003e\u003cstrong\u003e2DN-ANIME v3.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003e2026 Edition released\u003c/p\u003e\u003ch2 id=\"2dn-anime-v2.0\"\u003e\u003cstrong\u003e2DN-ANIME v2.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003eMajor improvements:\u003c/p\u003e\u003col\u003e\u003cli\u003e\u003cp\u003ePrompt obedience\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003ePrompt adhesion between seeds\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMore balanced contrast and details [increase CFG scale to increase contrast, if samples look too subtle to you]\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBetter anatomy\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMore concepts\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cem\u003eOneShotFacial \u003c/em\u003etechnology integrated, which means you don't need to use ADetailer/etc\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMore detailed backgrounds\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBetter expressions\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMore accurate artist styles\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBetter composition\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eLess latent garbling\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBetter character-to-character interaction support\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eFiner textures\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMore balanced landscapes\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eBetter LoRA support (will not burn as easily with many LoRA's applied)\u003c/p\u003e\u003c/li\u003e\u003c/ol\u003e\u003cp\u003eI recommend an img2img pass at the end with the same settings, sometimes with 50% of the original CFG scale (e.g. to avoid toe multiplication)\u003c/p\u003e\u003cp\u003eThis is a hybrid v-pred checkpoint so you may need to hunt around for the best CFG scale to use with your image gen software.\u003c/p\u003e\u003cp\u003eAll but 3 sample images were chosen from the first generation that ran. The 3 needed between 3 and 5 retries.\u003c/p\u003e\u003cp\u003eSamples generated with reForge -- you may need to adjust the settings in other software.\u003c/p\u003e\u003ch2 id=\"2dn-anime-v1.0\"\u003e\u003cstrong\u003e2DN-ANIME v1.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003eDue to popular demand, I've decided to upload a \"flat\" anime version of 2DN, that retains the model knowledge and detail of the semi-real models. It is much easier to use and doesn't require exotic samplers or schedulers and will work with Euler A.\u003c/p\u003e\u003cp\u003eThis model is actually great for creating game CG assets! So the previews are all wide-screen. If I've stolen your prompt, my apologies, I am a thief who likes your work.\u003c/p\u003e\u003cp\u003eSome software (such as the CivitAI generator) like settings like this:\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eCFGSCALE: 5\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSTEPS: 29\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSAMPLER: EULER A\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eI use reForge with:\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eCFGSCALE:1\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSTEPS:29\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSAMPLER: Euler Ancestral CFG++\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSCHEDULER: SGM Uniform\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eFor comfyUI steal the settings or workflows from anyone kind enough to post their metadata. comfyUI confuses the heck out of me so unfortunately I can't help there.\u003c/p\u003e\u003cp\u003eFor reasons unknown to me ADetailer fixes feet really well with this model (as in it actually removes extra toes). I just use the hand model, and most of the time it thinks feet are hands, so it catches them.\u003c/p\u003e\u003cp\u003e\u003cspan style=\"color:rgb(230, 73, 128)\"\u003e\u003cem\u003ePlease try using the model first without stacking LoRAs like crazy on it. It already has my NAI v-pred fix integrated - so chances are some detail LoRAs will fry the outputs. You can easily prompt for different styles using booru artist tags/combos.\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\u003ch2 id=\"2dn-nai-v1.0\"\u003e\u003cstrong\u003e2DN-NAI v1.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eThis is my best general-purpose model! \u003cem\u003eAll of the sample images have the same seed! They were not cherry picked!\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eI wanted to make a model that leveraged the sheer creativity and knowledge of NoobAI (NAI) v-pred v1.0 - so after much \"hitting head on brick wall\" here it is!\u003c/p\u003e\u003cp\u003eThe culmination of all of the 2DN series model vision - a highly detailed model that lets you do anime, realism, slop, or fancy art, with the ability to produce striking images thanks to v-pred.\u003c/p\u003e\u003cp\u003eSample metadata:\u003c/p\u003e\u003cpre\u003e\u003ccode\u003emasterpiece, very aesthetic, best quality, newest, absurdres, highres, very awa,\nBREAK\n1girl, solo, colorful, glowing, eyes, realistic, bodysuit, safe\n\nNegative prompt: lowres, worst quality, low quality, bad anatomy, bad hands, multiple views, abstract, signature, furry, anthro, 2koma, 4koma, comic, manga, text, watermark, username, artist signature, patreon logo, patreon username, twitter username,\n\nSteps: 14, \nSampler: DPM++ SDE CFG++, \nSchedule type: SGM Uniform, [using reForge]\n\nCFG scale: 2, \nSeed: 3493447269, \nSize: 832x1216, \nModel hash: 565548f2eb,\n\nDenoising strength: 0.2, \nHires CFG Scale: 2, Hires upscale: 1.5, Hires steps: 20,\nHires upscaler: R-ESRGAN 4x+ Anime6B,\n\nToken merging ratio: 0.5, Token merging ratio hr: 0.5, \n\nADetailer model: face_yolov8n.pt, ADetailer confidence: 0.3, ADetailer dilate erode: 4, ADetailer mask blur: 17, ADetailer denoising strength: 0.2, ADetailer inpaint only masked: True, ADetailer inpaint padding: 32, ADetailer use inpaint width height: True, ADetailer inpaint width: 1024, ADetailer inpaint height: 1024, ADetailer use separate steps: True, ADetailer steps: 60, ADetailer model 2nd: hand_yolov8n.pt, ADetailer confidence 2nd: 0.3, ADetailer dilate erode 2nd: 4, ADetailer mask blur 2nd: 4, ADetailer denoising strength 2nd: 0.4, ADetailer inpaint only masked 2nd: True, ADetailer inpaint padding 2nd: 32, ADetailer version: 25.3.0\n\nHierarchical CLIP Within Boost: 1, [\"off\", doesn't affect the images, I'm working on a fork of reForge with hierarchal prompting which is not used here]\u003c/code\u003e\u003c/pre\u003e\u003ch2 id=\"2dn-latentlens-v2.0\"\u003e\u003cstrong\u003e2DN-LatentLens v2.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eImprovements to model fidelity and knowledge. \u003cem\u003eDifficult to use.\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\u003cpre\u003e\u003ccode\u003eCheckpoint note: if you're getting bad anatomy and warped results, turn down the denoising in your hiresfix pipeline and/or reduce the number of steps. Weird faces? Turn down the denoising in ADetailer. The model is designed to give you details, and can be more aggressive than other models. Closeups messing up? Turn off ADetailer altogether!\u003c/code\u003e\u003c/pre\u003e\u003ch2 id=\"2dn-latentlens-v1.0\"\u003e\u003cstrong\u003e2DN-LatentLens v1.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eIt uses the right sampler and scheduler settings not available on CivitAI or any other online image generator service. It is also very fast.\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eIntroducing 2DN LatentLens.\u003c/p\u003e\u003cp\u003eLatentLens is a v-pred model, based on NoobAI XL v-pred v1.0\u003c/p\u003e\u003cp\u003eIt uses a novel technique called LatentLens, which increases model responsiveness to prompts, coherence and quality. For example, most of the preview images use neither hires fix, face detailers nor upscaling. LatenLens makes models more flexible, allowing you to explore various creative prompting strategies while seeing consistently coherent and vibrant generation results.\u003c/p\u003e\u003cp\u003eThis model works with NoobAI artist tags (not pictured) and is good at explicit content (not pictured).\u003c/p\u003e\u003cp\u003eMy intention when working on this model was to \"let people's dreams come true easily\".\u003c/p\u003e\u003cp\u003eFor best results:\u003c/p\u003e\u003cp\u003eInclude in positive prompt:\u003c/p\u003e\u003cpre\u003e\u003ccode\u003emasterpiece, best quality, amazing quality, very aesthetic, absurdres, very awa,\u003c/code\u003e\u003c/pre\u003e\u003cp\u003eInclude in negative prompt:\u003c/p\u003e\u003cpre\u003e\u003ccode\u003elowres, worst quality, low quality, bad anatomy, bad hands, multiple views, abstract, signature, furry, anthro, 2koma, 4koma, comic, manga, text, logo, artist signature, patreon logo, patreon username, twitter username\u003c/code\u003e\u003c/pre\u003e\u003cp\u003eRecommended settings:\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eGuidance: 1.1\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSteps: 20\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSampler: DPM++ SDE CFG++\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eScheduler: SGM Uniform\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eSoftware: reForge\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eThe model is also available on \u003ca target=\"_blank\" rel=\"ugc\" href=\"https://tensor.art/models/851584206017440111/2DN-LatentLens-v1\"\u003eTensorArt\u003c/a\u003e\u003c/p\u003e\u003ch2 id=\"2dn-illust-v1.0\"\u003e\u003cstrong\u003e2DN-Illust v1.0\u003c/strong\u003e\u003c/h2\u003e\u003cp\u003eIntroducing 2DN Illustrious.\u003c/p\u003e\u003cp\u003eThis model uses IllustriousXL/NoobAI as a base. It was fine-tuned using 65,000 high quality photos for 12 epochs, two of which were preconditioning. Note that I specifically avoided training on cosplay photos and selected a very diverse dataset (LAION etc). It was further refined with custom LORAs (such as my cfg scale LoRA).\u003c/p\u003e\u003cp\u003eFor those of you coming from Pony there are some important things to note:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eYour Pony LoRAs won't work. This is not as big of an issue as you might imagine. Illustrious/Noob has more than 100x the concepts and tags available for use than Pony. Including obscure tags you can only find on Danbooru. It also has tens of thousands of artist and characters tags if you want to make anime images or mix them into the realism style.\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eYou don't need to use the pony score tags. They will only interfere with the images.\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003cstrong\u003eREALISTIC MODE\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eI recommend the following base prompt:\u003c/p\u003e\u003cpre\u003e\u003ccode\u003ehighly detailed, realistic, fine fabric detail, absurdres, highly-detailed, best quality, masterpiece, very aesthetic, \u0026lt;your prompt\u0026gt;\u003c/code\u003e\u003c/pre\u003e\u003cp\u003eFor the negative prompt you should almost always use:\u003c/p\u003e\u003cpre\u003e\u003ccode\u003elowres, worst quality, low quality, bad anatomy, bad hands, multiple views, abstract, signature, furry, anthro, bkub, 2koma, 4koma, comic, manga, sketch, ixy,\u003c/code\u003e\u003c/pre\u003e\u003cp\u003eInserting artist tags of creators who make highly non-realistic artworks such as ixy and bkub improves the quality of the outputs.\u003c/p\u003e\u003cp\u003eUsing artist names in the positive prompt will make the model produce anime style images. For a 2.5D look reduce the weight of the artist tags to 0.5 for example.\u003c/p\u003e\u003cp\u003eFacial expression tags will result in exaggerated results. Lower the weight of these tags also to control their effect when generating realistic images.\u003c/p\u003e\u003cp\u003eLower CFG scale settings will produce less saturated images with lower contrast.\u003c/p\u003e\u003cp\u003eYou can control the temperature/colour cast of the images by specifying for example „warm light” in the positive prompt and „blue, blue light” in the negative prompt.\u003c/p\u003e\u003cp\u003eIf the model produces „babyface” during the ADetailer stage, set ADetailer positive prompt to an anime artist name such as „quasarcake”.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eANIME MODE\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eSimply prompt as you would any illustrious model, including artist tags.\u003c/p\u003e\u003cp\u003e—\u003c/p\u003e\u003cp\u003eHighres-fix or upscaling is highly recommended (0.3 denoising strength works well). ADetailer is essential for non close-ups of subjects.\u003c/p\u003e\u003cp\u003eRecommended CFG scale is 6.5. Adjust to taste.\u003c/p\u003e\u003cp\u003eTraining was performed on a RunPod A100 GPU, costing $200USD. The model will be buzz gated for a short while. Your money will go towards offsetting the training costs.\u003c/p\u003e\u003ch2 id=\"2dn-pony-v2.0\"\u003e2DN-Pony v2.0\u003c/h2\u003e\u003cp\u003eI'm happy to release v2.0 of the original 2DN-Pony series! The new model has many improvements across the board:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eBetter anatomy\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eMore pleasing and focused composition\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eFiner details\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eWider dynamic range\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eDeep tonality the original model was known for\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eWorks with a bigger range of CFG scales\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eIt is being released for a short time under the EA program to help support further development.\u003c/p\u003e\u003cp\u003eNote the model is highly detailed, so you do not need to use detail/slider LoRAs to get fine structure in your images by default.\u003c/p\u003e\u003ch2 id=\"2dn-pony-v1.0-nost\"\u003e2DN-Pony v1.0 NoST\u003c/h2\u003e\u003cp\u003eAs thanks for those who have donated buzz for early access PLaY I’m releasing NoST(algia). This 2DN version aims to replicate the feel of SD1.5 models, including ridiculous detail, sameface 😂, rich backgrounds, and too many mechs when you use the mecha token. Unfortunately (?) it’s surprisingly good at hands and fingers. Motivated in part because I looked back on my old SD1.5 gens and there was something fun and kooky about them that got lost along the way.\u003c/p\u003e\u003chr /\u003e\u003ch2 id=\"announcing-2dn-pony-v1.0-play\"\u003e\u003cspan style=\"color:rgb(230, 73, 128)\"\u003eAnnouncing 2DN-Pony v1.0 \u003cstrong\u003ePLaY\u003c/strong\u003e\u003c/span\u003e\u003c/h2\u003e\u003cp\u003e\u003cspan style=\"color:rgb(230, 73, 128)\"\u003e\u003cstrong\u003eUpdate: site gen isn't really working for some reason, sorry!\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\u003cp\u003e\u003cem\u003eMerging reality with fantasy... Let your dreams run wild!\u003c/em\u003e\u003c/p\u003e\u003cp\u003eMy best model and biggest fine-tuning project to date.\u003c/p\u003e\u003cp\u003eTrained on 70,000 selected photos.\u003c/p\u003e\u003cp\u003eI used the buzz donated from 2DN ReAL and put it toward cloud GPU compute to fine-tune this model. Any donations on this model will 100% go towards training new models (after CivitAI's cut).\u003c/p\u003e\u003cp\u003eGood for SFW, and NSFW. Pony Lora compatible but keep in mind this is a realistic model. An anime Lora won't always make the images anime-style but more often will change the gens in interesting ways (such as mood).\u003c/p\u003e\u003cp\u003eMore information on the model and usage tips coming soon...\u003c/p\u003e\u003chr /\u003e\u003ch2 id=\"2dn-pony-v1.0-real\"\u003e2DN-Pony v1.0 ReAL\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eUpdate\u003c/strong\u003e: ReAL is now in the site generator\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eUpdate\u003c/strong\u003e: the ReAL version ups the realism, especially with the “realistic” tag. Now produces a wide variety of images. It is being released under early access. Buzz will go towards training on a large realistic dataset. \u003cstrong\u003eBig thank you to everyone who is dropping buzz on this model ❤️\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eThe ReAL version is seed-matched with v1 - meaning you can try regenerating your v1 images with the same settings + seed and the general appearance should be similar in terms of content and composition.\u003c/p\u003e\u003cp\u003eMotivated by not being able to do certain stuff in Flux. I actually prefer promoting with booru tags as well, instead of long natural language prompts. I think the Pony base model is still unmatched.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eOriginal description\u003c/strong\u003e:\u003c/p\u003e\u003cp\u003eSee sample images for prompt ideas. The model can produce anime to 80% realistic content.\u003c/p\u003e\u003cp\u003eIf you are after a \u003cem\u003efully\u003c/em\u003e realistic Pony model I recommend \u003ca target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/476745?modelVersionId=530243\"\u003eGodiva\u003c/a\u003e. For a 2D anime model, check out \u003ca target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/484571?modelVersionId=538906\"\u003eCashMoney\u003c/a\u003e.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eUpdate: Works with onsite image generator!\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e\u003cem\u003eThank you to Pony Diffusion team for the game-changing Pony base 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