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/maggie-grace-sololora', weight_name='MaggieG_SoloLoRA_F1V1.safetensors')
image = pipeline('half-body portrait of a female blacksmith, in a fantasy setting.

long, braided dark hair, with strands framing her determined face, light makeup with soot-smudged cheeks, and strong, focused eyes.

wearing a leather apron over a simple tunic, rolled-up sleeves, and heavy gloves, with a rugged yet elegant vibe, a few iron tools hanging from her belt.

forging a glowing sword on an anvil, one hand gripping the hammer mid-swing, sparks flying from the heated metal, intense concentration on her face, surrounded by the glow of the forge and tools scattered in the dimly lit blacksmith’s workshop.

warm tones, dramatic lighting, powerful atmosphere, fierce, skilled, immersive, epic fantasy scene quality.').images[0]

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