quadratrund

/

Doggystyle_bbc_anal_old

like 6

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V2", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("quadratrund/Doggystyle_bbc_anal_old")

prompt = "this image shows one girl and one man. viewpoint is from side. it is a close-up of anal sex scene. "
image = pipe(prompt).images[0]