File "/workspace/app.py", line 18, in <module>
    pipe.load_lora_weights(lora_model)
  File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py", line 857, in load_lora_weights
    self.load_lora_into_unet(state_dict, network_alpha=network_alpha, unet=self.unet)
  File "/usr/local/lib/python3.10/dist-packages/diffusers/loaders.py", line 1062, in load_lora_into_unet
    unet.load_attn_procs(state_dict, network_alpha=network_alpha)
  File "/usr/local/lib/python3.10/dist-packages/diffusers/loaders.py", line 349, in load_attn_procs
    attn_processor = getattr(attn_processor, sub_key)
  File "/usr/local/lib/python3.10/dist-packages/diffusers/models/modeling_utils.py", line 186, in __getattr__
    return super().__getattr__(name)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1614, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'UNet2DConditionModel' object has no attribute ''

from diffusers import DiffusionPipeline
import torch
import time
# load SDXL pipeline
pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-0.9", torch_dtype=torch.float16, variant="fp16", use_safetensors=True
).to("cuda")


lora_model = "lycoris.safetensors"
lora_strength = 1
pipe.load_lora_weights(lora_model)

# create an image
generator = torch.Generator("cuda").manual_seed(0)
prompt = "arcane style, 1girl, hoodie, arm tattoo, portrait, asymmetrical bangs, bandaid, short hair, bangs, breasts, freckles, grey eyes, large breasts, looking at viewer, neck tattoo, nose piercing, pink hair, scar, scar on face, solo, tattoo on face, upper body, detailed background, town, alley, dark alley, portrait, hood on head, night, angry, close up, closed mouth, , ((masterpiece)), absurdres "

image = pipe(prompt=prompt,generator=generator).images[0]
image.save("output/"+time.strftime("%Y%m%d_%H%M%S") + ".png")