Instructions to use bruu93/MissionaryVaginal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bruu93/MissionaryVaginal with Diffusers:
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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.
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Model tree for bruu93/MissionaryVaginal
Base model
stabilityai/stable-cascade