Trigger word is TerryBogardVERSION 2.0 relevant tags: red vest, white sleeveless t-shirt, blonde hair / ponytail, denim pants, red sneakers, belt, fingerless gloves, and... of course.. red trucker cap. Enjoy!===<h2 id="heading-777">I have an official <a target="_blank" rel="ugc" href="https://www.deviantart.com/doctorstasis">DeviantArt </a>with NSFW stuff. It turns out that playing with AI is taking too much of my time. So some support will be really appreciated.</h2><h3 id="heading-220">In my Patreon you will find my models before I post on Civitai, and also the "spicy art" I am not posting here, also: exclusive gallery, tutorials (if requested), and your suggestions will have priority.</h3><h3 id="heading-4">Don't Forget: You can find my models also at <a target="_blank" rel="ugc" href="https://www.mage.space/">MageSpace</a></h3><h3 id="heading-5">You can still <a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/kensoufriends">buy me a beer if you want</a></h3><h3 id="heading-6"><a target="_blank" rel="ugc" href="https://reddiamondart.gumroad.com/l/kof01">Also: Visit my new GUMROAD</a></h3>===this is a model kinda hard of control. when it works it's really good, but it's a bit more unpredictable than my last two. I decided to post because it was making me crazy, so maybe one of you can make better use of it or crack the code. lol it works well with weight 1.0[Actually, I think resize hires helps a lot.]I like to separate the clothes in words, but model works with most of them. Anyway, you can try things like (red sleeveless jacket), (white sleeveless t-shirt), (blonde long hair / ponytail), jeans, (red sneakers) and... of course.. (red trucker cap) to edit, include, remove clothes (usually works).When doing nsfw, word bare-bottomed works well (I usually want to keep part of his clothes so it's not only a generic guy). Other "naughty" words seem to trigger nsfw== Anyway.. I hope you have more fun with Terry than I had lol :DFeel free to buy me a beer if you want

Terry Bogard (The King of Fighters) LoRA

<ul><li>Trained with 768x768 pics</li><li>Better dataset</li></ul>

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