如何加载本地lora权重

问答
1

赛题二的baseline中的run_all.py
import json, os, tqdm, torch

from diffusers import DiffusionPipeline

max_num = 15
dataset_root = “./A”

with torch.no_grad():
for taskid in tqdm.tqdm(range(0, max_num)):
pipe = DiffusionPipeline.from_pretrained(“stabilityai/stable-diffusion-2-1”).to(“cuda”)
pipe.load_lora_weights(f"style/style_{taskid}")

    # load json
    with open(f"{dataset_root}/{taskid}/prompt.json", "r") as file:
        prompts = json.load(file)

    for id, prompt in prompts.items():
        print(prompt)
        image = pipe(prompt + f" in style_{taskid}", num_inference_steps=25).images[0]
        os.makedirs(f"./output/{taskid}", exist_ok=True)
        image.save(f"./output/{taskid}/{prompt}.png")   如何加载微调好的Lora？ 上面的代码一直尝试去huggingface上面加载。