lion8bit installing

[Gewalts]

please provide a better explanation on how you are supposed to install the new bitsdefender its very unclear on what you need to do and where like to install the new version i just opened a powershell window and did pip uninstall bitsdefender and then did the install command but when i try lion8bit i got the error below :c

bin G:\sd-scripts\venv\lib\site-packages\bitsandbytes\libbitsandbytes_cpu.dll
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cextension.py:33: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
warn("The installed version of bitsandbytes was compiled without GPU support. "
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {WindowsPath('G:/sd-scripts/venv/Lib/site-packages/cv2/../../x64/vc14/bin')}
warn(msg)
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: G:\sd-scripts\venv\Lib\site-packages\cv2../../x64/vc14/bin;G:\sd-scripts\venv\scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;C:\Program Files\NVIDIA\CUDNN\v8.8\bin;C:\Program Files\Eclipse Adoptium\jdk-17.0.5.8-hotspot\bin;C:\Program Files\Common Files\Oracle\Java\javapath;C:\Program Files (x86)\Common Files\Oracle\Java\javapath;C:\Windows\system32;C:\Windows;C:\Windows\System32\Wbem;C:\Windows\System32\WindowsPowerShell\v1.0;C:\Windows\System32\OpenSSH;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\dotnet;C:\Program Files\010 Editor;C:\Program Files (x86)\IronRuby 1.1\bin;C:\Android;C:\Program Files (x86)\dotnet;C:\Program Files\RedHat\java-1.8.0-openjdk-1.8.0.352-2\bin;C:\Program Files\RedHat\java-1.8.0-openjdk-1.8.0.352-2\jre\bin;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\WINDOWS\System32\WindowsPowerShell\v1.0;C:\WINDOWS\System32\OpenSSH;C:\Program Files\nodejs;C:\Program Files\Docker\Docker\resources\bin;C:\Program Files\Git\cmd;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files\NVIDIA Corporation\Nsight Compute 2023.1.1;C:\Program Files\PowerShell\7\;C:\Users\Gewalt\AppData\Local\Programs\Python\Python310\Scripts\;C:\Users\Gewalt\AppData\Local\Programs\Python\Python310\;C:\Users\Gewalt\AppData\Local\Programs\Python\Python311\Scripts\;C:\Users\Gewalt\AppData\Local\Programs\Python\Python311\;C:\Users\Gewalt\AppData\Local\Programs\Python\Launcher\;C:\Users\Gewalt\AppData\Local\Microsoft\WindowsApps;C:\Users\Gewalt\AppData\Roaming\npm did not contain ['cudart64_110.dll', 'cudart64_120.dll'] as expected! Searching further paths...
warn(msg)
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1 did not contain ['cudart64_110.dll', 'cudart64_120.dll'] as expected! Searching further paths... warn(msg)
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {WindowsPath('/DESKTOP-HKCDFF3')}
warn(msg)
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {WindowsPath('C:/Users/Gewalt/Documents/WindowsPowerShell/Modules')}
warn(msg)
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching in backup paths...
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {WindowsPath('/usr/local/cuda/lib64')}
warn(msg)
ERROR: libcudart.so could not be read from path: None!
G:\sd-scripts\venv\lib\site-packages\bitsandbytes\cuda_setup\main.py:152: UserWarning: WARNING: No libcudart.so found! Install CUDA or the cudatoolkit package (anaconda)!
warn(msg)
CUDA SETUP: Highest compute capability among GPUs detected: 8.9
CUDA SETUP: Detected CUDA version None
CUDA SETUP: Loading binary G:\sd-scripts\venv\lib\site-packages\bitsandbytes\libbitsandbytes_cpu.dll...
use 8-bit Lion optimizer | {}
running training / 学習開始
num train images * repeats / 学習画像の数×繰り返し回数: 17
num reg images / 正則化画像の数: 0
num batches per epoch / 1epochのバッチ数: 10
num epochs / epoch数: 67
batch size per device / バッチサイズ: 3
gradient accumulation steps / 勾配を合計するステップ数 = 1
total optimization steps / 学習ステップ数: 667
steps: 0%| | 0/667 [00:00<?, ?it/s]epoch 1/67
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
G:\sd-scripts\venv\lib\site-packages\xformers\ops\fmha\flash.py:338: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
and inp.query.storage().data_ptr() == inp.key.storage().data_ptr()
Traceback (most recent call last):
File "G:\sd-scripts\train_network.py", line 773, in
train(args)
File "G:\sd-scripts\train_network.py", line 629, in train
optimizer.step()
File "G:\sd-scripts\venv\lib\site-packages\accelerate\optimizer.py", line 134, in step
self.scaler.step(self.optimizer, closure)
File "G:\sd-scripts\venv\lib\site-packages\torch\cuda\amp\grad_scaler.py", line 370, in step
retval = self._maybe_opt_step(optimizer, optimizer_state, *args, **kwargs)
File "G:\sd-scripts\venv\lib\site-packages\torch\cuda\amp\grad_scaler.py", line 290, in _maybe_opt_step
retval = optimizer.step(*args, **kwargs)
File "G:\sd-scripts\venv\lib\site-packages\torch\optim\lr_scheduler.py", line 69, in wrapper
return wrapped(*args, **kwargs)
File "G:\sd-scripts\venv\lib\site-packages\torch\optim\optimizer.py", line 280, in wrapper
out = func(*args, **kwargs)
File "G:\sd-scripts\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "G:\sd-scripts\venv\lib\site-packages\bitsandbytes\optim\optimizer.py", line 263, in step
self.update_step(group, p, gindex, pindex)
File "G:\sd-scripts\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "G:\sd-scripts\venv\lib\site-packages\bitsandbytes\optim\optimizer.py", line 702, in update_step
F.optimizer_update_8bit_blockwise(
File "G:\sd-scripts\venv\lib\site-packages\bitsandbytes\functional.py", line 981, in optimizer_update_8bit_blockwise
str2optimizer8bit_blockwise[optimizer_name][0](
NameError: name 'str2optimizer8bit_blockwise' is not defined
steps: 0%| | 0/667 [00:42<?, ?it/s]
Traceback (most recent call last):
File "C:\Users\Gewalt\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\Gewalt\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "G:\sd-scripts\venv\scripts\accelerate.exe_main.py", line 7, in
File "G:\sd-scripts\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
args.func(args)
File "G:\sd-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
simple_launcher(args)
File "G:\sd-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 '['G:\sd-scripts\venv\Scripts\python.exe', 'train_network.py', '--logging_dir=logs', '--log_prefix=Gewalt lion8bit_03-05-2023_12-32', '--network_module=networks.lora', '--max_data_loader_n_workers=4', '--caption_extension=.txt', '--shuffle_caption', '--keep_tokens=0', '--max_token_length=225', '--prior_loss_weight=1', '--mixed_precision=bf16', '--save_precision=bf16', '--xformers', '--cache_latents', '--save_model_as=safetensors', '--flip_aug', '--train_data_dir=.\.image-dir\', '--output_dir=.\.output\Gewalt lion8bit_03-05-2023_12-32', '--reg_data_dir=.\.reg-dir\', '--pretrained_model_name_or_path=G:\automatic\models\Stable-diffusion\fluffyrock-576-704-832-lion-low-lr-e20.safetensors', '--output_name=Gewalt lion8bit_03-05-2023_12-32', '--learning_rate=0.0003', '--unet_lr=0.0003', '--text_encoder_lr=5E-05', '--max_train_steps=667', '--save_every_n_steps=200', '--resolution=786', '--enable_bucket', '--min_bucket_reso=642', '--max_bucket_reso=963', '--train_batch_size=3', '--network_dim=176', '--network_alpha=0', '--optimizer_type=lion8bit', '--lr_scheduler=cosine_with_restarts', '--noise_offset=0', '--seed=0', '--clip_skip=1', '--sample_every_n_steps=200', '--sample_prompts=', '--sample_sampler=euler_a']' returned non-zero exit status 1.
Press Enter to continue...:

[Gewalts]

nvm seems like you just had to install the cudatoolkit to get it working