User LoRA

SDXL
Clothing

[SD1.5 / Illustrious] armored dress 鎧裝禮服 アーマードレス

#Armor

#Fantasy

[SD1.5 / Illustrious] armored dress 鎧裝禮服 アーマードレス - AI Model cover image
Caricato su
9 set 2025, 15:07
Utilizzi
2.99k
Reviews
Excellent  (1)
Parole d'ordine

armored_dress, {scale|plate} armor, {Surcoat|Tabard}

Permessi
  • Allow image generation & sharing
  • Permettete agli utenti di scaricare il vostro modello
  • Usi commerciali

Descrizione

https://civitai.com/models/92654/armored-dress

https://civitai.com/user/oosayam

triger word

The most basic armored_dress ,

with dynamic promts

Advanced version armored_dress ,{scale|plate} armor,{Surcoat|Tabard}

A version that can be used to randomise the diagrams directly

armored_dress ,{scale|plate} armor,{Surcoat|Tabard} , {|||||||||||||||||||||Helmet|Great Helm|Full Helm|Bascinet|Open-face Helmet|Sallet|Barbute|Armet|Close Helm|Visor|Mail Coif|Gorget} ,{1-3$$ shoulder armor,| gauntlets,| pauldrons|cape|shield | capelet, | hood down, | scabbard, |burqa|robe },{standing| sitting | fighting stance, | riding_horse | curvy, } ,{1-2$$ Breastplate|Backplate|Cuirass|Plackart|Fauld|Besagew|Pauldron|Spaulder|Mail Hauberk|Gorget|Culet|Tassets|Mail Skirt} ,{1-2$$ Rerebrace|Vambrace|Couter|Gauntlet|Finger Gauntlet|Bracer} ,{1-2$$ Fauld|Plackart|Tassets|Culet|Mail Skirt} ,{1-2$$ Cuisses|Poleyn|Greave|Sabaton|Solleret}, {standing| sitting | fighting stance, | riding_horse } ,detailed eyes ,{long|short }hair, makeup {indoors|outdoors} {warfield|church|desert|forest|brickwall| ruins | village, } { crusader | paladin, | knights of the round table | hussar | Polish hussars } {1-3$$ Oil paint|Watercolor|Acrylic|Gouache|Tempera|Pastel|Charcoal|Ink|Colored pencil|Graphite| anime screenshot, | western comics (style), | manga style }

triger word :armored dress,armored_dress

weight 0.5~1

armored dress

鎧裝禮服

アーマードレス

Suggested use of LORA Block weights

https://github.com/hako-mikan/sd-webui-lora-block-weight

use lora:armored_dress:0.75:clothes as prompts

clothes:1,1,1,1,1,0,0.2,0,0.8,1,1,0.2,0,0,0,0,0

and of course dynamic threshold get better resaults

https://github.com/mcmonkeyprojects/sd-dynamic-thresholding

Commenti