from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stablediffusionapi/abyssorangemix2-hard', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('throwromans/merchant_v2', weight_name='merchants-v2.safetensors')
image = pipeline('subversive jewish demon, ').images[0]

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