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('masterProfessortv/saeedav1', weight_name='saeedav1.safetensors')
image = pipeline(' SDAV1  a female with light skin and dark brown tied-back hair, wearing a green shirt, tan vest, cargo pants, and boots, The rendering is high-quality, Pixar-inspired, with smooth textures, realistic fabric detail,realistic hair detail,').images[0]
image.save("my_image.png")

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