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/danilo-tatjana-v3', weight_name='danilo-tatjana-v3.safetensors')
image = pipeline('DANTAT a watercolor painting portrait of a man and woman next to each other both smiling and happy, with color splashes around them on the canvas').images[0]
image.save("my_image.png")

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