from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('artificialguybr/amigurami-redmond-amigurami-crochet-sd-xl-lora', weight_name='AmiguramiRedmond-Crochet-Amigurumi.safetensors')
image = pipeline('`Amigurami`, `Crochet`').images[0]

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

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