[Bug]: OSError: [WinError -1073741795] Windows Error 0xc000001d

[samuelkurt]

Checklist

• The issue exists after disabling all extensions
• The issue exists on a clean installation of webui
• The issue is caused by an extension, but I believe it is caused by a bug in the webui
• The issue exists in the current version of the webui
• The issue has not been reported before recently
• The issue has been reported before but has not been fixed yet

What happened?

If I try to Train or use anything else then text2img or img2img, I will get this Error Message no matter what. OSError: [WinError -1073741795] Windows Error 0xc000001d

Steps to reproduce the problem

1. Install WebUI with the Dreambooth Extension.
2. Create your Model with Standard Settings.
3. Train your Model with Standard Settings.

What should have happened?

WebUI should Train the Model

What browsers do you use to access the UI ?

Google Chrome

Sysinfo

sysinfo-2024-05-06-17-49.json

Console logs

venv "C:\Users\Admin\Documents\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: v1.9.3
Commit hash: 1c0a0c4c26f78c32095ebc7f8af82f5c04fca8c0
Installing requirements
If submitting an issue on github, please provide the full startup log for debugging purposes.

Initializing Dreambooth
Dreambooth revision: 45a12fe5950bf93205b6ef2b7511eb94052a241f
Checking xformers...
Checking bitsandbytes...
Checking bitsandbytes (ALL!)
Checking Dreambooth requirements...
Installed version of bitsandbytes: 0.43.0
[Dreambooth] bitsandbytes v0.43.0 is already installed.
Installed version of accelerate: 0.21.0
[Dreambooth] accelerate v0.21.0 is already installed.
Installed version of dadaptation: 3.2
[Dreambooth] dadaptation v3.2 is already installed.
Installed version of diffusers: 0.27.2
[Dreambooth] diffusers v0.25.0 is already installed.
Installed version of discord-webhook: 1.3.0
[Dreambooth] discord-webhook v1.3.0 is already installed.
Installed version of fastapi: 0.94.0
[Dreambooth] fastapi is already installed.
Installed version of gitpython: 3.1.32
[Dreambooth] gitpython v3.1.40 is not installed.
Successfully installed gitpython-3.1.43

Installed version of pytorch_optimizer: 2.12.0
[Dreambooth] pytorch_optimizer v2.12.0 is already installed.
Installed version of Pillow: 9.5.0
[Dreambooth] Pillow is already installed.
Installed version of tqdm: 4.66.2
[Dreambooth] tqdm is already installed.
Installed version of tomesd: 0.1.3
[Dreambooth] tomesd v0.1.2 is already installed.
Installed version of tensorboard: 2.13.0
[Dreambooth] tensorboard v2.13.0 is already installed.
[+] torch version 2.1.2+cu121 installed.
[+] torchvision version 0.16.2+cu121 installed.
[+] accelerate version 0.21.0 installed.
[+] diffusers version 0.27.2 installed.
[+] bitsandbytes version 0.43.0 installed.
[+] xformers version 0.0.23.post1 installed.
Launching Web UI with arguments: --xformers
[AddNet] Updating model hashes...
[AddNet] Updating model hashes...
Loading weights [6ce0161689] from C:\Users\Admin\Documents\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Creating model from config: C:\Users\Admin\Documents\stable-diffusion-webui\configs\v1-inference.yaml
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 84.4s (prepare environment: 60.3s, import torch: 8.0s, import gradio: 1.5s, setup paths: 1.9s, initialize shared: 0.5s, other imports: 4.5s, list SD models: 0.4s, load scripts: 4.3s, create ui: 1.7s, gradio launch: 0.6s, add APIs: 0.3s).
Applying attention optimization: xformers... done.
Model loaded in 11.9s (load weights from disk: 0.9s, create model: 1.9s, apply weights to model: 7.8s, apply half(): 0.2s, move model to device: 0.1s, load textual inversion embeddings: 0.7s, calculate empty prompt: 0.2s).
Advanced elements visible: False
Extracting config from C:\Users\Admin\Documents\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\..\configs\v1-training-unfrozen.yaml
Extracting checkpoint from C:\Users\Admin\Documents\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Duration: 00:01:45
Advanced elements visible: True
Extracting config from C:\Users\Admin\Documents\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\..\configs\v1-training-unfrozen.yaml
Extracting checkpoint from C:\Users\Admin\Documents\stable-diffusion-webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Duration: 00:01:29
Updating scheduler name to: DDIM
Initializing dreambooth training...
0 cached latents
Init dataset!
Preparing Dataset (With Caching)
Bucket 0 (512, 512, 0) - Instance Images: 30 | Class Images: 0 | Max Examples/batch: 30
Saving cache!
Total Buckets 1 - Instance Images: 30 | Class Images: 0 | Max Examples/batch: 30

Total images / batch: 30, total examples: 30
Initializing bucket counter!
WARNING:dreambooth.train_dreambooth:Wandb API key not set. Please set WANDB_API_KEY environment variable to use wandb.
Steps:   0%|                                                                                  | 0/3000 [00:00<?, ?it/s]Traceback (most recent call last):
  File "C:\Users\Admin\Documents\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\ui_functions.py", line 735, in start_training
    result = main(class_gen_method=class_gen_method)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 2003, in main
    return inner_loop()
  File "C:\Users\Admin\Documents\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\memory.py", line 126, in decorator
    return function(batch_size, grad_size, prof, *args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\extensions\sd_dreambooth_extension\dreambooth\train_dreambooth.py", line 1811, in inner_loop
    optimizer.step()
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\accelerate\optimizer.py", line 133, in step
    self.scaler.step(self.optimizer, closure)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\amp\grad_scaler.py", line 416, in step
    retval = self._maybe_opt_step(optimizer, optimizer_state, *args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\torch\cuda\amp\grad_scaler.py", line 315, in _maybe_opt_step
    retval = optimizer.step(*args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\torch\optim\lr_scheduler.py", line 68, in wrapper
    return wrapped(*args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\torch\optim\optimizer.py", line 373, in wrapper
    out = func(*args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\bitsandbytes\optim\optimizer.py", line 300, in step
    self.update_step(group, p, gindex, pindex)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\bitsandbytes\optim\optimizer.py", line 581, in update_step
    F.optimizer_update_8bit_blockwise(
  File "C:\Users\Admin\Documents\stable-diffusion-webui\venv\lib\site-packages\bitsandbytes\functional.py", line 1469, in optimizer_update_8bit_blockwise
    optim_func(
OSError: [WinError -1073741795] Windows Error 0xc000001d
Steps:   0%|                                                                                  | 0/3000 [00:20<?, ?it/s]

Additional information

I am Using Tiny 10 (A rundown version of Windows 10)