Comments (2)
Light-7777
commented on August 16, 2024
kohya_SS logs
23:15:25-499525 INFO Command executed.
/workspace/kohya_ss/venv/lib/python3.10/site-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
/workspace/kohya_ss/venv/lib/python3.10/site-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
2024-05-25 23:15:30.772890: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-05-25 23:15:30.772924: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-05-25 23:15:30.772942: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-05-25 23:15:30.777820: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/workspace/kohya_ss/venv/lib/python3.10/site-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
2024-05-25 23:15:32 INFO Loading settings from train_util.py:3744
/workspace/kohya_ss/lora2/model/
config_lora-20240525-231525.toml
...
INFO /workspace/kohya_ss/lora2/model/ train_util.py:3763
config_lora-20240525-231525
2024-05-25 23:15:32 INFO prepare tokenizers sdxl_train_util.py:134
2024-05-25 23:15:33 INFO update token length: 75 sdxl_train_util.py:159
INFO Using DreamBooth method. train_network.py:172
INFO prepare images. train_util.py:1572
INFO found directory train_util.py:1519
/workspace/kohya_ss/lora2/img/30
_yuuk1 woman contains 34 image
files
INFO 1020 train images with train_util.py:1613
repeating.
INFO 0 reg images. train_util.py:1616
WARNING no regularization images / train_util.py:1621
正則化画像が見つかりませんでした
INFO [Dataset 0] config_util.py:565
batch_size: 1
resolution: (1024, 1024)
enable_bucket: True
network_multiplier: 1.0
min_bucket_reso: 256
max_bucket_reso: 2048
bucket_reso_steps: 64
bucket_no_upscale: True
[Subset 0 of Dataset 0]
image_dir:
"/workspace/kohya_ss/lora2/img/3
0_yuuk1 woman"
image_count: 34
num_repeats: 30
shuffle_caption: False
keep_tokens: 0
keep_tokens_separator:
secondary_separator: None
enable_wildcard: False
caption_dropout_rate: 0.0
caption_dropout_every_n_epoc
hes: 0
caption_tag_dropout_rate:
0.0
caption_prefix: None
caption_suffix: None
color_aug: False
flip_aug: False
face_crop_aug_range: None
random_crop: False
token_warmup_min: 1,
token_warmup_step: 0,
is_reg: False
class_tokens: yuuk1 woman
caption_extension: .txt
INFO [Dataset 0] config_util.py:571
INFO loading image sizes. train_util.py:853
100%|██████████| 34/34 [00:00<00:00, 76423.55it/s]
INFO make buckets train_util.py:859
WARNING min_bucket_reso and train_util.py:876
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
INFO number of images (including train_util.py:905
repeats) /
各bucketの画像枚数（繰り返し回数
を含む）
INFO bucket 0: resolution (384, 704), train_util.py:910
count: 60
INFO bucket 1: resolution (640, 896), train_util.py:910
count: 30
INFO bucket 2: resolution (640, 960), train_util.py:910
count: 30
INFO bucket 3: resolution (640, 1088), train_util.py:910
count: 120
INFO bucket 4: resolution (640, 1216), train_util.py:910
count: 30
INFO bucket 5: resolution (768, 1088), train_util.py:910
count: 30
INFO bucket 6: resolution (832, 704), train_util.py:910
count: 30
INFO bucket 7: resolution (832, 1088), train_util.py:910
count: 30
INFO bucket 8: resolution (1024, train_util.py:910
1024), count: 210
INFO bucket 9: resolution (1088, 832), train_util.py:910
count: 450
INFO mean ar error (without repeats): train_util.py:915
0.024796466791225116
WARNING clip_skip will be unexpected sdxl_train_util.py:343
/
SDXL学習ではclip_skipは動作
しません
INFO preparing accelerator train_network.py:225
accelerator device: cuda
INFO loading model for process 0/1 sdxl_train_util.py:30
INFO load StableDiffusion sdxl_train_util.py:70
checkpoint:
/workspace/stable-diffusion-w
ebui/models/Stable-diffusion/
ponyDiffusionV6XL_v6StartWith
ThisOne.safetensors
INFO building U-Net sdxl_model_util.py:192
INFO loading U-Net from sdxl_model_util.py:196
checkpoint
2024-05-25 23:15:35 INFO U-Net: <All keys matched sdxl_model_util.py:202
successfully>
INFO building text encoders sdxl_model_util.py:205
INFO loading text encoders from sdxl_model_util.py:258
checkpoint
INFO text encoder 1: <All keys sdxl_model_util.py:272
matched successfully>
Traceback (most recent call last):
File "/workspace/kohya_ss/venv/bin/accelerate", line 8, in <module>
sys.exit(main())
File "/workspace/kohya_ss/venv/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 47, in main
args.func(args)
File "/workspace/kohya_ss/venv/lib/python3.10/site-packages/accelerate/commands/launch.py", line 1017, in launch_command
simple_launcher(args)
File "/workspace/kohya_ss/venv/lib/python3.10/site-packages/accelerate/commands/launch.py", line 637, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/workspace/kohya_ss/venv/bin/python3', '/workspace/kohya_ss/sd-scripts/sdxl_train_network.py', '--config_file', '/workspace/kohya_ss/lora2/model/config_lora-20240525-231525.toml']' died with <Signals.SIGKILL: 9>.
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b-fission
commented on August 16, 2024
You are using these optimizer args scale_parameter=False relative_step=False warmup_init=False which are not applicable to AdamW8bit.
Try running it again without any of those options.
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Related Issues (20)
- Bad file descriptor in git clone
- BLIP2 captioning doesn't see .webp files (with patch) HOT 1
- Relationship between toml and json config files HOT 3
- I get an error message that a url: /api/models/stabilityai/stable-diffusion-xl-base-1.0 is missing when i start lora training local on windows without internet. HOT 1
- TypeError: environment can only contain strings
- 49 sec/it on 4090 HOT 3
- ValueError: Key backend: 'module://matplotlib_inline.backend_inline' is not a valid value for backend HOT 1
- assert abs_path is not None, f"no image / 画像がありません: {image_key}" HOT 1
- Didn't change anything, Lora training spits out non-zero exit status 1 json error? HOT 1
- ValueError: Too many values to unwrap (expected 2)...how to fix
- {Help} Network Rank Slider and No Half VAE checkbox is not showing up in my Kohya_ss after Installation. HOT 1
- AttributeError: 'NoneType' object has no attribute 'dtype' HOT 2
- Additional Parameters "Scheduler args" NOT Saved in Toml file AND NOT passed HOT 8
- No json files on training HOT 4
- WD14 Tagger Not Recognizing CUDA After Update? HOT 12
- sdxl training HOT 4
- pip install argument might be passed incorrectly HOT 2
- latent cache error RuntimeError: NaN detected in latents
- missing options in Dreambooth training HOT 17
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