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('openfree/flux-lora-korea-palace', weight_name='flux-lora-korea-palace.safetensors')
image = pipeline('Gyeongbokgung Palace in Seoul, South Korea. It is a large building with stairs leading up to the entrance, surrounded by a wall. In the background, there are other buildings, mountains, and a clear blue sky. [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