How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-cascade", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bruu93/MissionaryVaginal")

prompt = "<lora:MissionaryVaginal-v2:0.6> missionary vaginal, "
image = pipe(prompt).images[0]

MissionaryVaginal-v2

Prompt
<lora:MissionaryVaginal-v2:0.6> missionary vaginal,
Negative Prompt
amateur, pubic hair, close up, panties, poorly drawn face, (anime, cartoon, 3d render, drawn, illustration:1.2), bad art, (low quality, worst quality, normal quality, blurry:1.3), deformed body, conjoined, mutant, ugly, masturbation, hands on pussy,

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Downloads last month
44
Inference Examples
Examples
This model isn't deployed by any Inference Provider. 🙋 1 Ask for provider support

Model tree for bruu93/MissionaryVaginal

Adapter
(18)
this model