“AIGC Stable Diffusion文生图Lora模型微调实现虚拟上装”Lora微调训练问题

在执行Lora模型训练这一步的时候：执行如下命令，设置num_train_epochs为200，进行lora模型的训练：
! export MODEL_NAME="chilloutmix-ni" && \
export DATASET_NAME="cloth_train_example" && \
accelerate launch --mixed_precision="fp16" train_text_to_image_lora.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--dataset_name=$DATASET_NAME --caption_column="text" \
--width=640 --height=768 --random_flip \
--train_batch_size=1 \
--num_train_epochs=200 --checkpointing_steps=5000 \
--learning_rate=1e-04 --lr_scheduler="constant" --lr_warmup_steps=0 \
--seed=42 \
--output_dir="cloth-model-lora" \
--validation_prompt="cloth1" --validation_epochs=100

出现问题：

╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /usr/local/lib/python3.10/dist-packages/diffusers/configuration_utils.py:337 │
│ in load_config │
│ │
│ 334 │ │ else: │
│ 335 │ │ │ try: │
│ 336 │ │ │ │ # Load from URL or cache if already cached │
│ ❱ 337 │ │ │ │ config_file = hf_hub_download( │
│ 338 │ │ │ │ │ pretrained_model_name_or_path, │
│ 339 │ │ │ │ │ filename=cls.config_name, │
│ 340 │ │ │ │ │ cache_dir=cache_dir, │
│ │
│ /usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py │
│ :120 in _inner_fn │
│ │
│ 117 │ │ if check_use_auth_token: │
│ 118 │ │ │ kwargs = smoothly_deprecate_use_auth_token(fn_name=fn.__na │
│ 119 │ │ │
│ ❱ 120 │ │ return fn(args, *kwargs) │
│ 121 │ │
│ 122 │ return _inner_fn # type: ignore │
│ 123 │
│ │
│ /usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:125 │
│ 3 in hf_hub_download │
│ │
│ 1250 │ │ │ │ " and downloads online, set 'local_files_only' to Fal │
│ 1251 │ │ │ ) │
│ 1252 │ │ else: │
│ ❱ 1253 │ │ │ raise LocalEntryNotFoundError( │
│ 1254 │ │ │ │ "Connection error, and we cannot find the requested f │
│ 1255 │ │ │ │ " the disk cache. Please try again or make sure your │
│ 1256 │ │ │ │ " connection is on." │
╰──────────────────────────────────────────────────────────────────────────────╯
LocalEntryNotFoundError: Connection error, and we cannot find the requested
files in the disk cache. Please try again or make sure your Internet connection
is on.

During handling of the above exception, another exception occurred:

╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /mnt/workspace/train_text_to_image_lora.py:896 in │
│ │
│ 893 │
│ 894 │
│ 895 if name == "main": │
│ ❱ 896 │ main() │
│ 897 │
│ │
│ /mnt/workspace/train_text_to_image_lora.py:440 in main │
│ │
│ 437 │ │ │ os.makedirs(args.output_dir, exist_ok=True) │
│ 438 │ │
│ 439 │ # Load scheduler, tokenizer and models. │
│ ❱ 440 │ noise_scheduler = DDPMScheduler.from_pretrained(args.pretrained_mo │
│ 441 │ tokenizer = CLIPTokenizer.from_pretrained( │
│ 442 │ │ args.pretrained_model_name_or_path, subfolder="tokenizer", rev │
│ 443 │ ) │
│ │
│ /usr/local/lib/python3.10/dist-packages/diffusers/schedulers/scheduling_util │
│ s.py:139 in from_pretrained │
│ │
│ 136 │ │ │
│ 137 │ │ │
│ 138 │ │ """ │
│ ❱ 139 │ │ config, kwargs, commit_hash = cls.load_config( │
│ 140 │ │ │ pretrained_model_name_or_path=pretrained_model_name_or_pat │
│ 141 │ │ │ subfolder=subfolder, │
│ 142 │ │ │ return_unused_kwargs=True, │
│ │
│ /usr/local/lib/python3.10/dist-packages/diffusers/configuration_utils.py:364 │
│ in load_config │
│ │
│ 361 │ │ │ │ │ f" 'https://huggingface.co/{pretrained_model_name_ │
│ 362 │ │ │ │ ) │
│ 363 │ │ │ except EntryNotFoundError: │
│ ❱ 364 │ │ │ │ raise EnvironmentError( │
│ 365 │ │ │ │ │ f"{pretrained_model_name_or_path} does not appear │
│ 366 │ │ │ │ ) │
│ 367 │ │ │ except HTTPError as err: │
╰──────────────────────────────────────────────────────────────────────────────╯
OSError: chilloutmix-ni does not appear to have a file named
scheduler_config.json.
[02:18:28] ERROR failed (exitcode: 1) local_rank: 0 (pid: 502) of ]8;id=222292;file:///usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/multiprocessing/api.py\api.py]8;;:]8;id=930720;file:///usr/local/lib/python3.10/dist-packages/torch/distributed/elastic/multiprocessing/api.py#673\673]8;;