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('davidrd123/Flux-RangeRover-AIToolkit', weight_name='range_rover_ait_v2.safetensors')
image = pipeline('Medium shot, rear three-quarter angle of a c4r set against a 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