from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/snegh', weight_name='Snegh-000001.safetensors')
image = pipeline('and a matching bracelet., and a subtle blush., elegant updos adorned with delicate, dark eyeliner and voluminous eyelashes. Her lips are painted with a deep, likely created using advanced 3D modeling and rendering techniques. The subject is a young woman with a fair, accentuated with heavy, hyper-realistic digital artwork of a young woman with a striking appearance. She has a light skin tone, styled in loose waves and adorned with delicate').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers