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('busetolunay/assets-bld5g-f1-rich', weight_name='assets_f1_rich.safetensors')
image = pipeline('bld5g style. A cozy pink house: rounded chubby walls, white-framed arched windows with warm glow inside, a small teal front door with a tiny golden knob, a sloped lavender shingle roof, a little brick chimney with a curl of smoke, two steps leading up, small round flower pots beside the entrance, soft ambient occlusion and gentle studio lighting, 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