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('seawolf2357/test7-coat', weight_name='test7-coat.safetensors')
image = pipeline('a woman taking a selfie in a mirror while wearing a beige trench coat. She is standing in front of a wall with two frames attached to it, and there is a bag on the right side of the image. In the background, there are a few chairs and a table. [trigger]').images[0]
image.save("my_image.png")

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