AttributeError: PIECEWISE_CONSTANT

[kevinyhj12]

===================================BUG REPORT===================================
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CUDA SETUP: Loading binary G:\stable\lora-scripts\venv\lib\site-packages\bitsandbytes\libbitsandbytes_cuda116.dll...
use 8-bit AdamW optimizer | {}
override steps. steps for 20 epochs is / 指定エポックまでのステップ数: 4200
Traceback (most recent call last):
File "G:\stable\lora-scripts\sd-scripts\train_network.py", line 990, in
trainer.train(args)
File "G:\stable\lora-scripts\sd-scripts\train_network.py", line 353, in train
lr_scheduler = train_util.get_scheduler_fix(args, optimizer, accelerator.num_processes)
File "G:\stable\lora-scripts\sd-scripts\library\train_util.py", line 3659, in get_scheduler_fix
if name == SchedulerType.PIECEWISE_CONSTANT:
File "C:\Program Files\Python310\lib\enum.py", line 437, in getattr
raise AttributeError(name) from None
AttributeError: PIECEWISE_CONSTANT
Traceback (most recent call last):
File "C:\Program Files\Python310\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Program Files\Python310\lib\runpy.py", line 86, in _run_code
exec(code, run_globals)
File "G:\stable\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 996, in
main()
File "G:\stable\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 992, in main
launch_command(args)
File "G:\stable\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 986, in launch_command
simple_launcher(args)
File "G:\stable\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 628, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['G:\stable\lora-scripts\venv\Scripts\python.exe', './sd-scripts/train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=./sd-models/chilloutmix_NiPrunedFp32Fix.safetensors', '--train_data_dir=./train/test', '--output_dir=./output', '--logging_dir=./logs', '--log_prefix=testout', '--resolution=512,768', '--network_module=networks.lora', '--max_train_epochs=20', '--learning_rate=1e-4', '--unet_lr=1e-4', '--text_encoder_lr=1e-5', '--lr_scheduler=cosine_with_restarts', '--lr_warmup_steps=0', '--lr_scheduler_num_cycles=1', '--network_dim=32', '--network_alpha=32', '--output_name=testout', '--train_batch_size=1', '--save_every_n_epochs=2', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1337', '--cache_latents', '--prior_loss_weight=1', '--max_token_length=225', '--caption_extension=.txt', '--save_model_as=safetensors', '--min_bucket_reso=256', '--max_bucket_reso=1024', '--keep_tokens=0', '--xformers', '--shuffle_caption', '--clip_skip=2', '--optimizer_type=AdamW8bit', '--log_with=tensorboard']' returned non-zero exit status 1.

[aka7774]

same

[loikp4]

me too

[lc1314555]

Have somebody solved this problem?Help!

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

[TimDettmers]

This is not a bitsandbytes error. It seems one of your libraries is not up-to-date. Please update your other libraries and try again.

[MOGRAINEREPORTS]

Necro but for people finding this thread first;

This is not a bitsandbytes error. It seems one of your libraries is not up-to-date. Please update your other libraries and try again.

Correct.

go to .\venv\scripts using cmd write "activate", then "pip install bitsandbytes-windows"

This link has the answer, should work even if you use a different repo for the ./venv/

[Titus-von-Koeller]

Dear all,

Since the current release (last week, 8th of March) we now have official support for Windows 🎉 (which we did not have before) via

pip install bitsandbytes>=0.43.0

We're closing all old Windows issues and are asking everyone to try installing with this new version as outlined above and validate the install with python -m bitsandbytes which should spit out a bunch of stuff and then SUCCESS. Please let us know if everything worked correctly in this new umbrella / catch-all issue. Thanks 🤗