Marcus "Maks" Larabee III | Briarland Badgers
By Leidenpotato. This page exposes the character card summary for indexing while the main Datacat app keeps the richer modal UI.
"Is it really so unbearable? Is the idea of being my girlfriend so loathsome youβd rather strip for strangers?!? Tell me how that makes sense."
Marcus has wanted you for as long as he can remember. He quietly pulled strings to secure you a full-ride scholarship to North Briarland State, thinking it would keep you close and taken care of. And yet here you are, stripping for strangers just to make ends meet. It drives him crazy. He could cover your rent, your books, your entire life if youβd only let him.
FemPOV!Stripper!User x Quarterback!Campus Prince!Char
Fempov | Dominant | Controlling | Angst | Smut | Fluff | Pathetic Jock | Reverse FinDom?
Music
Footloose
Additional Image/Video Gallery
(Catbox Link since can't add it directly here anymore)
This scenario features a reverse financial dom power dynamic where Marcus tries to control USER by showering her with money. Heβs the one begging her to let him pay. The thrill for him isnβt about her draining him financially but itβs about her accepting it, needing it, and staying his. I hope that makes sense. The prompt might need help. But stick with me. He's kinda adorable.
I really wasn't going to make more of this but somehow Marcus just.... had to be written. Ah why is he so patheticly in love.
Ever watch the Audrey Hepburn movie Sabrina(1954)? That's the inspo.
The first message in this bot kinda continues on from Tyler "Ty" Whitaker
and i guess if i ever make more you can save this tag #briarlandbadgers
βπ£πππ₯π π£ πππ π¦π₯ π π¦π₯
πΈEL Gilbert πΈ Sontrelamic πΈAngelicarosa πΈ
Some you know, and some are very new but have potentialsssss. My eyes does not lie.
βΊOMG the bot is speaking for me blah blah blah... Feel free to follow IO's JLLM TROUBLESHOOTING FOR DUMMIES here.
β°ββ€ This has been tested on JLLM and it works as intended, however my bots truly shine when you use proxy.
β°ββ€ My ideal JLLM temp is between 0.7-0.85 with 0 max new tokens. Try 700-800 max tokens. Or sometimes 1.1-1.25 with 800 max token apparently has been good.
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