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-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("rorito/jug19light")

prompt = "a young woman, swimming cap, brown hair, green eyes, upper body, from above, facing the viewer, floating on the water,  wet, pensive, one-piece swimming suit, realistic, skin texture, best quality"
image = pipe(prompt).images[0]

jug

Prompt
a young woman, swimming cap, brown hair, green eyes, upper body, from above, facing the viewer, floating on the water, wet, pensive, one-piece swimming suit, realistic, skin texture, best quality
Negative Prompt
bad quality, worst quality, low quality, semi realistic, 2d, cartoon,

Download model

Download them in the Files & versions tab.

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

Model tree for rorito/jug19light

Adapter
(8365)
this model