from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('artificialguybr/filmgrain-redmond-filmgrain-lora-for-sdxl', weight_name='FilmGrainRedmond-FilmGrain-FilmGrainAF.safetensors')
image = pipeline('A cat wearing christmas hat,
,Film Grain, FilmGrainAF,').images[0]

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

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