手动下载stable-diffusion-2-inpainting

[Manyalittlemakesamickle]

运行脚本python src/inference.py --dataset vitonhd --vitonhd_dataroot /hy-tmp/data/VITON-HD --output_dir ./output --test_order unpaired --pretrained_model_name_or_path /hy-tmp/stable-diffusion-2-inpainting

提示
Traceback (most recent call last):
File "/ladi-vton/src/inference.py", line 347, in
main()
File "/usr/local/miniconda3/envs/ladi-vton/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/ladi-vton/src/inference.py", line 126, in main
vae = AutoencoderKL.from_pretrained(args.pretrained_model_name_or_path, subfolder="vae")
File "/usr/local/miniconda3/envs/ladi-vton/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 558, in from_pretrained
model = cls.from_config(config, **unused_kwargs)
File "/usr/local/miniconda3/envs/ladi-vton/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 210, in from_config
model = cls(**init_dict)
File "/usr/local/miniconda3/envs/ladi-vton/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 569, in inner_init
init(self, *args, **init_kwargs)
File "/ladi-vton/src/models/AutoencoderKL.py", line 78, in init
self.encoder = Encoder(
File "/ladi-vton/src/models/vae.py", line 65, in init
down_block = get_down_block(
File "/usr/local/miniconda3/envs/ladi-vton/lib/python3.10/site-packages/diffusers/models/unet_2d_blocks.py", line 88, in get_down_block
raise ValueError("cross_attention_dim must be specified for CrossAttnDownBlock2D")
ValueError: cross_attention_dim must be specified for CrossAttnDownBlock2D