Lora Training Failing

[venom6kw]

Currently im having an issue with Lora training. I have looked everywhere and tried almost every basic solution. I currently have all the dependencies and just re-installed pytorch and kohya to be safe.

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All requirements satisfied.
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Running on local URL: URL lol

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Folder 150_name: 1650 steps
max_train_steps = 1650
stop_text_encoder_training = 0
lr_warmup_steps = 0
accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --enable_bucket --pretrained_model_name_or_path="runwayml/stable-diffusion-v1-5" --train_data_dir="F:/AiThings/AiProject/LoraTraining/name/lorafiles/image" --resolution=768,768 --output_dir="F:/AiThings/AiProject/LoraTraining/name/lorafiles/model" --logging_dir="F:/AiThings/AiProject/LoraTraining/name/lorafiles/log" --network_alpha="128" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=0.0001 --network_dim=128 --output_name="name lol r" --lr_scheduler_num_cycles="1" --learning_rate="0.0001" --lr_scheduler="constant" --train_batch_size="1" --max_train_steps="1650" --save_every_n_epochs="1" --mixed_precision="bf16" --save_precision="bf16" --seed="1234" --caption_extension=".txt" --cache_latents --optimizer_type="AdamW8bit" --max_data_loader_n_workers="1" --clip_skip=2 --bucket_reso_steps=64 --xformers --bucket_no_upscale
prepare tokenizer
Use DreamBooth method.
prepare images.
found directory F:\AiThings\AiProject\LoraTraining\name\lorafiles\image\150_name contains 11 image files
1650 train images with repeating.
0 reg images.
no regularization images / 正則化画像が見つかりませんでした
[Dataset 0]
batch_size: 1
resolution: (768, 768)
enable_bucket: True
min_bucket_reso: 256
max_bucket_reso: 1024
bucket_reso_steps: 64
bucket_no_upscale: True

[Subset 0 of Dataset 0]
image_dir: "F:\AiThings\AiProject\LoraTraining\name\lorafiles\image\150_name"
image_count: 11
num_repeats: 150
shuffle_caption: False
keep_tokens: 0
caption_dropout_rate: 0.0
caption_dropout_every_n_epoches: 0
caption_tag_dropout_rate: 0.0
color_aug: False
flip_aug: False
face_crop_aug_range: None
random_crop: False
is_reg: False
class_tokens: name
caption_extension: .txt

[Dataset 0]
loading image sizes.
100%|████████████████████████████████████████████████████████████████████████████████| 11/11 [00:00<00:00, 1469.44it/s]
make buckets
min_bucket_reso and max_bucket_reso are ignored if bucket_no_upscale is set, because bucket reso is defined by image size automatically / bucket_no_upscaleが指定された場合は、bucketの解像度は画像サイズから自動計算されるため、min_bucket_resoとmax_bucket_resoは無視されます
number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む）
bucket 0: resolution (768, 768), count: 1650
mean ar error (without repeats): 0.0
prepare accelerator
Traceback (most recent call last):
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\train_network.py", line 659, in
train(args)
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\train_network.py", line 108, in train
accelerator, unwrap_model = train_util.prepare_accelerator(args)
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\library\train_util.py", line 1984, in prepare_accelerator
accelerator = Accelerator(gradient_accumulation_steps=args.gradient_accumulation_steps, mixed_precision=args.mixed_precision,
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\venv\lib\site-packages\accelerate\accelerator.py", line 370, in init
raise ValueError(err.format(mode="bf16", requirement="PyTorch >= 1.10 and a supported device."))
ValueError: bf16 mixed precision requires PyTorch >= 1.10 and a supported device.
Traceback (most recent call last):
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.2800.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.2800.0_x64__qbz5n2kfra8p0\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\venv\Scripts\accelerate.exe_main.py", line 7, in
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
args.func(args)
File "F:\AiThings\AiProject\kohyafresh\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
simple_launcher(args)
File "F:\AiThings\AiProject\kohyafresh\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 '['F:\AiThings\AiProject\kohyafresh\kohya_ss\venv\Scripts\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=runwayml/stable-diffusion-v1-5', '--train_data_dir=F:/AiThings/AiProject/LoraTraining/name/lorafiles/image', '--resolution=768,768', '--output_dir=F:/AiThings/AiProject/LoraTraining/name/lorafiles/model', '--logging_dir=F:/AiThings/AiProject/LoraTraining/name/lorafiles/log', '--network_alpha=128', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=128', '--output_name=name', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=constant', '--train_batch_size=1', '--max_train_steps=1650', '--save_every_n_epochs=1', '--mixed_precision=bf16', '--save_precision=bf16', '--seed=1234', '--caption_extension=.txt', '--cache_latents', '--optimizer_type=AdamW8bit', '--max_data_loader_n_workers=1', '--clip_skip=2', '--bucket_reso_steps=64', '--xformers', '--bucket_no_upscale']' returned non-zero exit status 1.

[wcarletsdrive]

Yeah I am getting the same type of errors even for dreambooth. Kohya will help soon, he is the man!