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/gwyneth-paltrow', weight_name='gwyneth_paltrow_dev_f1.safetensors')
image = pipeline(' a beautiful woman, blonde, blue eyes, reading a book, coffee shop, peaceful,').images[0]

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