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('Faitlesses/gomoporn1', weight_name='gomoporn1.safetensors')
image = pipeline('gomoporn, explicit high-quality photo of two naked young men (age 18–22), fair-skinned, with visible muscles and erect penises, one giving a blowjob to the other, under soft natural light, cinematic composition, shot on Canon EOS 5D Mark IV, f/1.8, ISO 100').images[0]
image.save("my_image.png")

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