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/danielle-rose-russell-sololora', weight_name='DanielleRR_SoloLoRA_F1V1.safetensors')
image = pipeline('half-body portrait of a woman, in a romantic fantasy setting.

chin-length blonde bob cut, softly styled, with gentle waves framing her face, natural makeup with soft pink lips and a dreamy glow.

wearing a delicate pastel-colored gown, adorned with lace and subtle shimmer, complemented by a sparkling crystal necklace.

standing in an enchanted garden, surrounded by glowing flowers and floating lanterns, hands lightly clasped, gazing upward with a serene smile, as soft light reflects off her hair.

muted pastel tones, ethereal lighting, magical atmosphere, enchanting, whimsical, and cinematic fantasy quality.').images[0]

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