from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('masterProfessortv/khaledv2', weight_name='khaledv2.safetensors')
image = pipeline('a young boy standing in front of a white background wearing a brown jacket, white t-shirt, grey pants, and brown shoes. [trigger]').images[0]
image.save("my_image.png")

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