Text-to-Image
Diffusers
lora
template:diffusion-lora
Not-For-All-Audiences
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("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Adam3DX/peeLoraV1")

prompt = "peeLora,  A woman stands urinating in a rocky arid landscape while leaning against a large tree trunk with her left leg raised and propped against it and her right leg planted on the ground, her body angled slightly to the side as she looks down, one hand resting on her raised thigh and the other positioned near her genitals. full body shot the entire body is in frame. She has long black hair, a slim build, smooth skin, purple nail polish, a small tattoo on her left torso, and a shaved pubic area. She is nude except for red sneakers on both feet. A thin stream straight down is visible with no wetness on thighs or ground. The background features dry bushes, scattered rocks, and distant hills under bright sunlight casting distinct shadows."
image = pipe(prompt).images[0]

Not-For-All-Audiences

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