from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('aztro/fxl-mabama', weight_name='lora-000008.TA_trained.safetensors')
image = pipeline('`mabama`, `beauriful woman`, `milf`, `sexy`').images[0]

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