from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/zooey-deschanel-flux', weight_name='Zooey_Deschanel_Flux.safetensors')
image = pipeline(' beautiful detailed photograph, brown hair with bangs, loose wavy cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling').images[0]

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