from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Kvisten/nocco-apple-flux-v3', weight_name='nocco_apple_v3')
image = pipeline('[trigger] can on a sandy beach at sunset, surrounded by seashells and gentle ocean waves').images[0]
image.save("my_image.png")

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