Does your project take forever to startup?
Repetitive dependency installation may be the reason.
Automatic1111's base project sets strict requirements on outdated dependencies.
If an extension is using a newer version, the dependency is uninstalled and reinstalled twice every startup.
[+] xformers version 0.0.17 installed.
[+] torch version 2.0.1+cu118 installed.
[+] torchvision version 0.15.2+cu118 installed.
[+] accelerate version 0.19.0 installed.
[+] diffusers version 0.16.1 installed.
[+] transformers version 4.29.2 installed.
[+] bitsandbytes version 0.35.4 installed.
Command Line Arguments
set COMMANDLINE_ARGS=--xformers --disable-nan-check --always-batch-cond-uncond --api --theme dark --no-half-vae
Console logs
Initializing imagic training...
Initializing imagic.
E:\stable-diffusion-webui\venv\lib\site-packages\accelerate\accelerator.py:258: FutureWarning: `logging_dir` is deprecated and will be removed in version 0.18.0 of 🤗 Accelerate. Use `project_dir` instead.
warnings.warn(
Optimizing embedding: 0%| | 0/150 [00:00<?, ?it/s]Optimizing Embedding
Optimizing embedding: 100%|█| 150/150 [00:33<00:00, 4.47it/s, loss=tensor(0.0003, device='cuda:0', grad_fn=<DivBackwar
Saving embedding(s).
Fine Tuning: 0%| | 0/150 [00:00<?, ?it/s]Fine Tuning
Fine Tuning: 100%|█████| 150/150 [00:34<00:00, 4.37it/s, loss=tensor(0.0001, device='cuda:0', grad_fn=<DivBackward0>)]
Saving pretrained model.
Traceback (most recent call last):
File "E:\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\ui_functions.py", line 721, in start_training
result = train_imagic(config)
File "E:\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_imagic.py", line 343, in train_imagic
pipeline.save_pretrained(args.pretrained_model_name_or_path, safe_serialization=True)
File "E:\stable-diffusion-webui\venv\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 607, in save_pretrained
save_method(os.path.join(save_directory, pipeline_component_name), **save_kwargs)
File "E:\stable-diffusion-webui\venv\lib\site-packages\diffusers\models\modeling_utils.py", line 319, in save_pretrained
safetensors.torch.save_file(
File "E:\stable-diffusion-webui\venv\lib\site-packages\safetensors\torch.py", line 232, in save_file
serialize_file(_flatten(tensors), filename, metadata=metadata)
safetensors_rust.SafetensorError: Error while serializing: IoError(Os { code: 1224, kind: Uncategorized, message: "请求 的操作无法在使用用户映射区域打开的文件上执行。" })
Restored system models.
Duration: 00:01:14
Is there an existing issue for this?
What happened?
Cannot run due to the error. The latest vision has the problem.
Steps to reproduce the problem
Run after filling in the parameters
Commit and libraries
Initializing Dreambooth Dreambooth revision: b396af26b7906aa82a29d8847e756396cb2c28fb Successfully installed accelerate-0.19.0 fastapi-0.94.1 gitpython-3.1.31 transformers-4.29.2
Does your project take forever to startup? Repetitive dependency installation may be the reason. Automatic1111's base project sets strict requirements on outdated dependencies. If an extension is using a newer version, the dependency is uninstalled and reinstalled twice every startup.
[+] xformers version 0.0.17 installed. [+] torch version 2.0.1+cu118 installed. [+] torchvision version 0.15.2+cu118 installed. [+] accelerate version 0.19.0 installed. [+] diffusers version 0.16.1 installed. [+] transformers version 4.29.2 installed. [+] bitsandbytes version 0.35.4 installed.
Command Line Arguments
Console logs
Additional information
No response