之前卡一個地方，關(guān)閉后再打開就一直出這個了

prepare tokenizer

update token length: 225

Use DreamBooth method.

prepare images.

found directory train\xs\10_ConceptQ contains 270 image files

2700 train images with repeating.

0 reg images.

no regularization images / 正則化畫像が見つかりませんでした

[Dataset 0]

?batch_size: 1

?resolution: (512, 640)

?enable_bucket: True

?min_bucket_reso: 256

?max_bucket_reso: 1024

?bucket_reso_steps: 64

?bucket_no_upscale: False

?[Subset 0 of Dataset 0]

??image_dir: "train\xs\10_ConceptQ"

??image_count: 270

??num_repeats: 10

??shuffle_caption: True

??keep_tokens: 0

??caption_dropout_rate: 0.0

??caption_dropout_every_n_epoches: 0

??caption_tag_dropout_rate: 0.0

??color_aug: False

??flip_aug: False

??face_crop_aug_range: None

??random_crop: False

??token_warmup_min: 1,

??token_warmup_step: 0,

??is_reg: False

??class_tokens: ConceptQ

??caption_extension: .txt

[Dataset 0]

loading image sizes.

100%|█████████████████████████████████████████████████████████████████████████████| 270/270 [00:00<00:00, 16675.68it/s]

make buckets

number of images (including repeats) / 各bucketの畫像枚數(shù)（繰り返し回數(shù)を含む）

bucket 0: resolution (512, 640), count: 2700

mean ar error (without repeats): 0.0

prepare accelerator

Using accelerator 0.15.0 or above.

loading model for process 0/1

load StableDiffusion checkpoint

Traceback (most recent call last):

?File "E:\xm\lora-scripts-1.1.0\lora-scripts-1.1.0\sd-scripts\train_network.py", line 773, in <module>

??train(args)

?File "E:\xm\lora-scripts-1.1.0\lora-scripts-1.1.0\sd-scripts\train_network.py", line 146, in train

??text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator)

?File "E:\xm\lora-scripts-1.1.0\lora-scripts-1.1.0\sd-scripts\library\train_util.py", line 2928, in load_target_model

??text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model(

?File "E:\xm\lora-scripts-1.1.0\lora-scripts-1.1.0\sd-scripts\library\train_util.py", line 2894, in _load_target_model

??text_en

有沒有人知道解決方法