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('fffiloni/carbo-800', weight_name='carbo-800.safetensors')
image = pipeline('a painting of a woman with red hair wearing a hat. Her eyes are closed and her lips are slightly parted, giving her a peaceful and serene look. The background is a soft, muted color, allowing the woman to stand out in the painting. in the style of TOK').images[0]
image.save("my_image.png")

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