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('chau9ho/marbles', weight_name='marbles.safetensors')
image = pipeline('A sophisticated toy poodle with apricot-colored fur, expertly groomed into a round teddy bear cut, wearing a lime green silk bow tie, lounging in a French garden conservatory, soft bokeh background with blooming blue hydrangeas, professional portrait lighting, shallow depth of field, shot on Canon EOS R5, marbles_hk').images[0]
image.save("my_image.png")

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