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('feliperosasgp/r0n1n', weight_name='r0n1n.safetensors')
image = pipeline('R0N1N motorcycle speeding through a neon-lit cyberpunk city at night, leaving a trail of glowing energy. The rider wears a sleek black armored suit with a reflective visor. The scene is intense with motion blur and reflections on the wet pavement.').images[0]
image.save("my_image.png")

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