Instructions to use darrenfu/Sarah_Petersons_bdsm1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darrenfu/Sarah_Petersons_bdsm1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("darrenfu/Sarah_Petersons_bdsm1") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000b\u0000d\u0000s\u0000b\u0000n\u0000d\u0000c\u0000r\u0000s\u0000l\u0000g\u0000Z\u0000I\u0000M\u0000G\u0000:\u00000\u0000.\u00007\u0000>\u0000,\u0000 \u0000b\u0000d\u0000s\u0000b\u0000n\u0000d\u0000c\u0000r\u0000s\u0000l\u0000g\u0000x\u0000l\u0000r\u0000d\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000l\u0000y\u0000i\u0000n\u0000g\u0000,\u0000 \u0000f\u0000e\u0000e\u0000t\u0000,\u0000 \u0000a\u0000r\u0000m\u0000s\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000,\u0000 \u0000b\u0000d\u0000s\u0000m\u0000,\u0000 \u0000o\u0000n\u0000 \u0000s\u0000t\u0000o\u0000m\u0000a\u0000c\u0000h\u0000,\u0000 \u0000b\u0000o\u0000n\u0000d\u0000a\u0000g\u0000e\u0000,\u0000 \u0000l\u0000e\u0000g\u0000s\u0000 \u0000t\u0000o\u0000g\u0000e\u0000t\u0000h\u0000e\u0000r\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000g\u0000a\u0000g\u0000,\u0000 \u0000g\u0000a\u0000g\u0000g\u0000e\u0000d\u0000,\u0000 \u0000s\u0000h\u0000i\u0000b\u0000a\u0000r\u0000i\u0000,\u0000 \u0000b\u0000o\u0000u\u0000n\u0000d\u0000 \u0000a\u0000r\u0000m\u0000s\u0000,\u0000 \u0000b\u0000o\u0000u\u0000n\u0000d\u0000 \u0000l\u0000e\u0000g\u0000s\u0000,\u0000 \u0000f\u0000e\u0000e\u0000t\u0000 \u0000u\u0000p\u0000,\u0000 \u0000c\u0000r\u0000o\u0000s\u0000s\u0000e\u0000d\u0000 \u0000a\u0000n\u0000k\u0000l\u0000e\u0000s\u0000,\u0000 \u0000h\u0000o\u0000g\u0000t\u0000i\u0000e\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000-\u0000s\u0000k\u0000i\u0000n\u0000n\u0000e\u0000d\u0000 \u0000m\u0000a\u0000l\u0000e\u0000 \u0000C\u0000o\u0000a\u0000s\u0000t\u0000 \u0000G\u0000u\u0000a\u0000r\u0000d\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000-\u0000s\u0000k\u0000i\u0000n\u0000n\u0000e\u0000d\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000 \u0000,\u0000 \u0000z\u0000i\u0000o\u0000n\u0000 \u0000c\u0000i\u0000v\u0000i\u0000l\u0000i\u0000z\u0000a\u0000t\u0000i\u0000o\u0000n\u0000,\u0000.\u0000 \u0000A\u0000 \u0000s\u0000u\u0000b\u0000l\u0000i\u0000m\u0000e\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000-\u0000b\u0000o\u0000d\u0000i\u0000e\u0000d\u0000 \u0000B\u0000r\u0000u\u0000n\u0000e\u0000i\u0000a\u0000n\u0000,\u0000 \u0000 \u0000a\u0000g\u0000e\u0000 \u00002\u00002\u0000,\u0000 \u0000 \u0000p\u0000r\u0000o\u0000p\u0000o\u0000r\u0000t\u0000i\u0000o\u0000n\u0000a\u0000t\u0000e\u0000 \u0000w\u0000a\u0000i\u0000s\u0000t\u0000.\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000s\u0000t\u0000r\u0000a\u0000w\u0000b\u0000e\u0000r\u0000r\u0000y\u0000 \u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000,\u0000 \u0000l\u0000a\u0000y\u0000e\u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000i\u0000l\u0000v\u0000e\u0000r\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000p\u0000a\u0000l\u0000e\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000m\u0000i\u0000g\u0000h\u0000t\u0000y\u0000 \u0000 \u0000a\u0000s\u0000s\u0000.\u0000 \u0000 \u0000h\u0000a\u0000u\u0000t\u0000e\u0000 \u0000c\u0000o\u0000u\u0000t\u0000u\u0000r\u0000e\u0000 \u0000g\u0000a\u0000r\u0000m\u0000e\u0000n\u0000t\u0000s\u0000 \u0000c\u0000o\u0000y\u0000 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\u0000w\u0000o\u0000r\u0000k\u0000e\u0000r\u0000s\u0000,\u0000 \u0000t\u0000o\u0000i\u0000l\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000d\u0000a\u0000n\u0000g\u0000e\u0000r\u0000o\u0000u\u0000s\u0000 \u0000c\u0000o\u0000n\u0000d\u0000i\u0000t\u0000i\u0000o\u0000n\u0000s\u0000 \u0000f\u0000o\u0000r\u0000 \u0000m\u0000e\u0000a\u0000g\u0000e\u0000r\u0000 \u0000p\u0000a\u0000y\u0000.\u0000 \u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000R\u0000A\u0000W\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000s\u0000u\u0000b\u0000j\u0000e\u0000c\u0000t\u0000,\u0000 \u00008\u0000k\u0000 \u0000u\u0000h\u0000d\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000N\u0000a\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000G\u0000e\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000i\u0000c\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000d\u0000o\u0000c\u0000u\u0000m\u0000e\u0000n\u0000t\u0000a\u0000r\u0000y\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Sarah Petersons BDSM on stomach crossed ankles bound XLrd
.webp)
- Prompt
- UNICODE<lora:bdsbndcrslgZIMG:0.7>, bdsbndcrslgxlrd, 1girl, solo, lying, feet, arms behind back, bdsm, on stomach, bondage, legs together, realistic, gag, gagged, shibari, bound arms, bound legs, feet up, crossed ankles, hogtie, dark-skinned male Coast Guard, and light-skinned female , zion civilization,. A sublime light-bodied Bruneian, age 22, proportionate waist. long hair strawberry blonde hair color, layered hair, and silver eyes, pale skin,, female, large breasts, mighty ass. haute couture garments coy facial expression. affluent, detailed face. streamlined body. Step-by-step . photogenic face. scene: A sweatshop filled with exhausted workers, toiling in dangerous conditions for meager pay. best quality, RAW photo, subject, 8k uhd, high quality, photorealistic, , natural lighting, ultrarealistic, National Geographic style documentary photography
Trigger words
You should use <lora:bdsbndcrslgXLrd:{0.6|0.7|0.8|0.9|1}> {bdsbndcrslgxlrd to trigger the image generation.
You should use }{realistic to trigger the image generation.
You should use }{solo to trigger the image generation.
You should use }{1girl to trigger the image generation.
You should use }{lying to trigger the image generation.
You should use }{on stomach to trigger the image generation.
You should use |}{bondage to trigger the image generation.
You should use |||}{bdsm to trigger the image generation.
You should use |||}{arms behind back to trigger the image generation.
You should use ||||}{looking at viewer to trigger the image generation.
You should use ||||||}{feet to trigger the image generation.
You should use |||||||}{feet up to trigger the image generation.
You should use |||||||||}{toes to trigger the image generation.
You should use ||||||||||}{soles to trigger the image generation.
You should use ||||||||||}{hogtie to trigger the image generation.
You should use |||||||||||}{the pose to trigger the image generation.
You should use |||||||||||}{ass to trigger the image generation.
You should use ||||||||||||}{crossed ankles to trigger the image generation.
You should use |||||||||||||}{bound arms to trigger the image generation.
You should use ||||||||||||||} to trigger the image generation.
Download model
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