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('lccontillo/leomarv2-lora', weight_name='leomarv2-lora.safetensors')
image = pipeline('a person in a bustling cafe, l3omar, neatly styled hair, well-groomed appearance, casual fashion, ambient lighting, natural vibe').images[0]
image.save("my_image.png")

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