This is my first Lora. I've trained this on Google Colab using a hand captioned dataset filled with screenshots of TF2 maps (without hud or players).It does not require a trigger word, but tags are recommended:Try prompting like: "(name of the map), (keywords), fps game"Adding "Team Fortress 2 map," to the beginning of your prompt may worsen quality, especially for maps that use dev textures, but could possibly improve quality for sandier maps like pl_upward.Maps it was trained with (use one of these in the prompt): ctf_2fort, ctf_turbine, koth_sawmill, pl_upward, pl_badwater, plr_hightower, trade_mega, trade_plaza, achievement_engineer, achievement_apg, cp_5gorge, tr_walkway, cp_degrootkeep, cp_orange (x3 version)I've captioned images in the dataset using these keywords:|grid texture, community map| -&gt; for cp_orange and achievement_engineer|overcast, wooden logs| -&gt; for koth_sawmill|payload track/payload cart| -&gt; for pl_upward, plr_highertower, pl_badwater|medival, castle| -&gt; for cp_degrootkeep, achievement_apgYou can also use these general terms: outdoors, indoors, RED/BLU intelligence room, RED/BLU control point, wooden walls, concrete walls, red brick walls, underground, cliffside, rocks, cactus

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