import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("BIGJUTT/Real_Pussy")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000P\u0000u\u0000s\u0000s\u0000y\u0000_\u0000C\u0000a\u0000m\u0000e\u0000l\u0000t\u0000o\u0000e\u0000_\u0000X\u0000L\u0000_\u0000v\u00002\u0000:\u00000\u0000.\u00007\u0000>\u0000c\u0000a\u0000m\u0000e\u0000l\u0000t\u0000o\u0000e\u0000_\u0000p\u0000u\u0000s\u0000s\u0000y\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000f\u0000r\u0000o\u0000n\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000,\u0000 \u0000p\u0000u\u0000s\u0000s\u0000y\u0000 \u0000h\u0000a\u0000v\u0000i\u0000n\u0000g\u0000 \u0000t\u0000i\u0000n\u0000y\u0000 \u0000o\u0000u\u0000t\u0000e\u0000r\u0000 \u0000l\u0000a\u0000b\u0000i\u0000a\u0000,\u0000 \u0000s\u0000h\u0000a\u0000v\u0000e\u0000d\u0000 \u0000v\u0000u\u0000l\u0000v\u0000a\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000w\u0000a\u0000l\u0000l\u0000 \u0000i\u0000n\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000"
image = pipe(prompt).images[0]Real Pussy
- Prompt
- UNICODE<lora:Pussy_Cameltoe_XL_v2:0.7>cameltoe_pussy, photo, woman, front view, pussy having tiny outer labia, shaved vulva, white wall in background
Trigger words
You should use cameltoe_pussy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
xinsir/controlnet-union-sdxl-1.0