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/zahrav1', weight_name='zahrav1.safetensors')
image = pipeline('ZHAV1 , a young female with dark skin, wearing a turquoise hijab adorned with floral patterns, and a peach dress with pants, in 3D rendering style. The rendering is high-quality, Pixar-inspired, with smooth textures, realistic fabric 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