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- Traceback (most recent call last):
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\train_network.py", line 659, in <module>
- train(args)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\train_network.py", line 115, in train
- text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\library\train_util.py", line 2027, in load_target_model
- text_encoder, vae, unet = model_util.load_models_from_stable_diffusion_checkpoint(args.v2, name_or_path)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\library\model_util.py", line 869, in load_models_from_stable_diffusion_checkpoint
- _, state_dict = load_checkpoint_with_text_encoder_conversion(ckpt_path)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\library\model_util.py", line 846, in load_checkpoint_with_text_encoder_conversion
- checkpoint = torch.load(ckpt_path, map_location="cpu")
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\venv\lib\site-packages\torch\serialization.py", line 705, in load with _open_zipfile_reader(opened_file) as opened_zipfile:
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\venv\lib\site-packages\torch\serialization.py", line 242, in __init__
- super(_open_zipfile_reader, self).__init__(torch._C.PyTorchFileReader(name_or_buffer))
- RuntimeError: PytorchStreamReader failed reading zip archive: invalid header or archive is corrupted
- Traceback (most recent call last):
- File "C:\Users\Kevin\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\Kevin\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
- exec(code, run_globals)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\venv\Scripts\accelerate.exe\__main__.py", line 7, in <module>
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
- args.func(args)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
- simple_launcher(args)
- File "C:\Users\Kevin\Desktop\Training\Kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 567, in simple_launcher
- raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
- subprocess.CalledProcessError: Command '['C:\\Users\\Kevin\\Desktop\\Training\\Kohya\\kohya_ss\\venv\\Scripts\\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=C:/Users/Kevin/Desktop/StableDiffusion/stable-diffusion-webui/models/Stable-diffusion/anyloraCheckpoint_novaeFp16Pruned.ckpt', '--train_data_dir=C:\\Users\\Kevin\\Desktop\\Training\\Kohya\\kohya_ss\\training_image_folder\\image_dir', '--resolution=768,768', '--output_dir=C:\\Users\\Kevin\\Desktop\\Training\\Kohya\\kohya_ss\\training_image_folder\\out', '--logging_dir=C:\\Users\\Kevin\\Desktop\\Training\\Kohya\\kohya_ss\\training_image_folder\\log', '--network_alpha=200', '--save_model_as=safetensors', '--network_module=lycoris.kohya', '--network_args', 'conv_dim=1', 'conv_alpha=1', 'algo=lora', '--text_encoder_lr=1e-6', '--unet_lr=5e-6', '--network_dim=200', '--output_name=houtengeki(loconv2)', '--lr_scheduler_num_cycles=7', '--learning_rate=5e-6', '--lr_scheduler=cosine_with_restarts', '--train_batch_size=2', '--max_train_steps=16212', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--cache_latents', '--optimizer_type=Lion', '--max_token_length=150', '--clip_skip=2', '--bucket_reso_steps=64', '--flip_aug', '--shuffle_caption', '--xformers', '--bucket_no_upscale']' returned non-zero exit status 1.
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