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/megan-fox-flux', weight_name='megan_fox_r8_flux_lora_v1_000002400.safetensors')
image = pipeline('megan fox is working as a hostess at McDonalds. captured on a Hasselblad H3DII-39  ').images[0]

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