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jingliu

LORA
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This is a LoRA for Jingliu character from Honkai Star Rail, trained in Anythingv4.5 for 50 epochs with 101 images 1 repeat

tbh i train it for 50 epochs (x/y test). this one using the last epoch, if you guys want other epochs just lemme know..

its match the character pretty well with model like anything or , for more information you can see the image previews.

for the weight i recommended using around 0.6-1 (Recommended 0.8)

as for the trigger words, i think you can use (cut if not used)

jingliu, long hair, bangs, red eyes, dress, bare shoulders, jewelry, medium breasts, blue hair, grey hair, earrings, boots, black gloves, elbow gloves, chinese clothes, china dress, hair stick, detached sleeves, hair ornament,

i guess that is all, thanks you....

Edit: So i forgot some images that i use for the preview using control net when looking for pose or propotions, Here some guide to use ControlNet

  • Go towards extensions tabs and install this extension, https://github.com/Mikubill/sd-webui-controlnet

  • Download ControlNet model (https://huggingface.co/lllyasviel/ControlNet/tree/main/models) (recomended the openpose one) and place it inside sd-webui-controlnet/models extension folder

  • After installing, a tab named Control Net should be appeared in txt2img or img2img

  • Open the tab and use this image as a guidelines, pretty much use openpose preprocessor and openpose model then place the image that you want to use inside the tab.

  • Sometimes this method not working, you can use openpose stickman instead, here my collection of openpose stickman (set preprocessor to none like this)

  • Then just generate images like usual, just leave the ControlNet enabled. the image should resemble the pose

Version Detail

SD 1.5
30
1000

Project Permissions

Model reprinted from : https://civitai.com/models/89766/jingliu-or-honkai-star-rail

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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