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('sharaku/mylo-with-owner-v1', weight_name='mylo-with-owner-v1.safetensors')
image = pipeline('a woman laying on top of a bed next to a small dog, with a wall in the background. The woman is wearing a white dress and has a warm smile on her face, while the dog is looking up at her with a content expression. we call the women with the dog TATMLO').images[0]
image.save("my_image.png")

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