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发表于 2023-2-20 17:04:38
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prepare tokenizer
update token length: 225
Use DreamBooth method.
prepare train images.
found directory 3_sucai contains 118 image files
354 train images with repeating.
loading image sizes.
100%|██████████████████████████████████████████████████████████████████████████████| 118/118 [00:00<00:00, 4286.31it/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: 354
mean ar error (without repeats): 0.0
prepare accelerator
Using accelerator 0.15.0 or above.
load Diffusers pretrained models
Traceback (most recent call last):
File "F:\lora-scripts\venv\lib\site-packages\diffusers\configuration_utils.py", line 326, in load_config
config_file = hf_hub_download(
File "F:\lora-scripts\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn
validate_repo_id(arg_value)
File "F:\lora-scripts\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 166, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': './sd-models/model.skpt'. Use `repo_type` argument if needed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "F:\lora-scripts\sd-scripts\train_network.py", line 548, in <module>
train(args)
File "F:\lora-scripts\sd-scripts\train_network.py", line 156, in train
text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype)
File "F:\lora-scripts\sd-scripts\library\train_util.py", line 1587, in load_target_model
pipe = StableDiffusionPipeline.from_pretrained(args.pretrained_model_name_or_path, tokenizer=None, safety_checker=None)
File "F:\lora-scripts\venv\lib\site-packages\diffusers\pipeline_utils.py", line 454, in from_pretrained
config_dict = cls.load_config(
File "F:\lora-scripts\venv\lib\site-packages\diffusers\configuration_utils.py", line 363, in load_config
raise EnvironmentError(
OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like ./sd-models/model.skpt is not the path to a directory containing a model_index.json file.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/diffusers/installation#offline-mode'.
Traceback (most recent call last):
File "C:\Users\Administrator\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\Administrator\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "F:\lora-scripts\venv\Scripts\accelerate.exe\__main__.py", line 7, in <module>
File "F:\lora-scripts\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
args.func(args)
File "F:\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
simple_launcher(args)
File "F:\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 '['F:\\lora-scripts\\venv\\Scripts\\python.exe', './sd-scripts/train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=./sd-models/model.skpt', '--train_data_dir=./train/sucai/', '--output_dir=./output', '--logging_dir=./logs', '--resolution=512,640', '--network_module=networks.lora', '--max_train_epochs=10', '--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=gaoye', '--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 |
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