Help！how can i fix this error？

[ilvzl]

prepare tokenizer
update token length: 225
Use DreamBooth method.
prepare train images.
found directory 6_Neko contains 67 image files
402 train images with repeating.
loading image sizes.
100%|█████████████████████████████████████████████████████████████████████████████████| 67/67 [00:00<00:00, 179.14it/s]
make buckets
number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む）
bucket 0: resolution (512, 640), count: 402
mean ar error (without repeats): 0.0
prepare accelerator
Using accelerator 0.15.0 or above.
load StableDiffusion checkpoint
Traceback (most recent call last):
File "E:\lora-scripts\sd-scripts\train_network.py", line 548, in
train(args)
File "E:\lora-scripts\sd-scripts\train_network.py", line 156, in train
text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype)
File "E:\lora-scripts\sd-scripts\library\train_util.py", line 1584, in load_target_model
text_encoder, vae, unet = model_util.load_models_from_stable_diffusion_checkpoint(args.v2, args.pretrained_model_name_or_path)
File "E:\lora-scripts\sd-scripts\library\model_util.py", line 880, in load_models_from_stable_diffusion_checkpoint
info = unet.load_state_dict(converted_unet_checkpoint)
File "E:\lora-scripts\venv\lib\site-packages\torch\nn\modules\module.py", line 1604, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for UNet2DConditionModel:
size mismatch for conv_in.weight: copying a param with shape torch.Size([320, 9, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 4, 3, 3]).
Traceback (most recent call last):
File "C:\Users\win\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\win\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "E:\lora-scripts\venv\Scripts\accelerate.exe_main.py", line 7, in
File "E:\lora-scripts\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
args.func(args)
File "E:\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
simple_launcher(args)
File "E:\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 567, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['E:\lora-scripts\venv\Scripts\python.exe', './sd-scripts/train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=./sd-models/sd-inpainting.ckpt', '--train_data_dir=./train/Neko', '--output_dir=./output', '--logging_dir=./logs', '--resolution=512,640', '--network_module=networks.lora', '--max_train_epochs=20', '--learning_rate=1e-4', '--unet_lr=1e-4', '--text_encoder_lr=1e-5', '--lr_scheduler=cosine_with_restarts', '--lr_warmup_steps=0', '--network_dim=32', '--network_alpha=32', '--output_name=Neko', '--train_batch_size=1', '--save_every_n_epochs=2', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1337', '--cache_latents', '--clip_skip=2', '--prior_loss_weight=1', '--max_token_length=225', '--caption_extension=.txt', '--save_model_as=safetensors', '--min_bucket_reso=256', '--max_bucket_reso=1024', '--xformers', '--shuffle_caption', '--use_8bit_adam']' returned non-zero exit status 1.
Train finished

[DKnight54]

It seems like you are trying to train a inpainting model. AFAIK, training of inpainting model is not implemented yet...