from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('ostris/curly-hair-slider-lora', weight_name='curly_hair_slider_v1.safetensors')
image = pipeline('photo of a blonde women (with rainbow streaks in her hair:1.1), subtle red lipstick, high detail skin,, burning house behind her , night time, award winning photo , dark eye shadow, big black glasses, cinematic, low light shot, ambient light from fire , (aliens behind her:1.5)  ').images[0]

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