from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/chaoyue-v17-yang-chao-yue-huo-jian-shao-nu-101', weight_name='chaoyue-v17.safetensors')
image = pipeline('A young woman of East Asian ethnicity is positioned slightly to the left of center in a formal portrait. She is wearing a strapless, black bodice dress with a voluminous, layered, light-gray tulle skirt.  The tulle has a ruffled, textured appearance. She is wearing black velvet gloves that extend to her wrists. A delicate gold necklace and bracelet are visible. Her long, dark hair is styled in loose waves. She is standing on a red carpet.  The backdrop is a dark, muted color scheme, primarily shades of dark purple and black.  The lighting is dramatic, highlighting the woman and the details of the dress. The perspective is slightly above the subject, focusing on her from the waist up. The composition is balanced and elegant, emphasizing the elaborate details of the dress and the woman's posture. The overall style is formal and glamorous, reminiscent of a red carpet event.  ').images[0]

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