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('uwcc/SP0TTY_ctl2', weight_name='SP0TTY_ctl2.safetensors')
image = pipeline('black and white red drawing of Inside a cozy dimly lit room, a fireplace burns brightly while a window reveals a snowy mountain vista at night. A plush _chair_, wooden table, and flowers accentuate the room, illuminated by the fireplace and lamp., [trigger], grayscale digital illustration, red selective color, white background').images[0]
image.save("my_image.png")

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