RealSheerBodysuit – Sheer Bodysuits for Illustrious (IL)
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Model description
The Lora model is specifically trained to render Sheer Bodysuits, with different colours (black, white, skin colour).
A native 1024x1024 dataset was selected to train a performing Lora for Illustrious, with reliable layout for anime, manga and cartoon images.
So first, if you like this Lora, please review it, use it and share many pictures. Best of them will be reviewed with tips.
For a great output please read the following instructions.
Triggering prompt keyword:
SheerBodysuit
Lora weight:
A value from 0.8 to 0.9 is highly recommended. Higher values can trigger artifacts.
So a good activation keyword for lora is:
<lora:RealSheerBodysuit_IL:0.9>
Sampling steps:
About 20-40 sampling steps.
Additional istructions
- The triggering keyword should be preceded by a color. Lora was trained with black, tan and white colors, but a good prompt should render also many other colors.
black SheerBodysuit
tan SheerBodysuit
white SheerBodysuit
- There are some different particulars than can be rendered, like the sleeve length, that can be triggered by using the following tokens:
long sleeves SheerBodysuit
half sleeves SheerBodysuit
sleeveless SheerBodysuit
So the two token for rendering a Sheer Bodysuit are for example:
black SheerBodysuit, long sleeves SheerBodysuit
or
black SheerBodysuit, sleeveless SheerBodysuit
or
white SheerBodysuit, half sleeves SheerBodysuit
and so on.
For entire body images an inpainting step focused on the bodysuit could be needed to improve the output details.
Image dimensions
Better result are obtained with a base image of about 1200 px dimension on the long image side with an image width/length ratio of 1.5.
USE DEMO IMAGES PROMPTS AS REFERENCE !!!
Final statements:
1. You are solely responsible for any creative work using this model.
2. You cannot use this model to intentionally produce or share illegal images or content.
3. Furthermore can't use this model for malicious, hurtful, defamatory, fraudulent or political purposes.



