How to use yangchen123321/lora-trained-xl-gbps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yangchen123321/lora-trained-xl-gbps") prompt = "A realistic photo of a damaged concrete cover slab on the ground, \nwith a broken hole exposing the dark underground cavity and pipes, \ncracked and chipped concrete edges, rough surface texture, \noutdoor pavement environment, \ncivil infrastructure defect, \nengineering inspection perspective, \nnatural lighting, high detail, high resolution, photorealistic\n" image = pipe(prompt).images[0]
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