from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.2-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('busetolunay/bld5g-style-lowdim', weight_name='buildings_style_6_lowdim.safetensors')
image = pipeline('bld5g style. a small two-story brick building with tall arched windows, a recessed front door, a flat parapet roof, and a weathered facade, on a plain white background').images[0]
image.save("my_image.png")

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