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[2024-10-17 18:24:18] [INFO] Running bash "/content/fluxgym-Colab/train.sh"
[2024-10-17 18:24:22] [INFO] The following values were not passed to `accelerate launch` and had defaults used instead:
[2024-10-17 18:24:22] [INFO] `--num_processes` was set to a value of `1`
[2024-10-17 18:24:22] [INFO] `--num_machines` was set to a value of `1`
[2024-10-17 18:24:22] [INFO] `--dynamo_backend` was set to a value of `'no'`
[2024-10-17 18:24:22] [INFO] To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
[2024-10-17 18:24:27] [INFO] 2024-10-17 18:24:27.973353: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
[2024-10-17 18:24:27] [INFO] 2024-10-17 18:24:27.998102: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
[2024-10-17 18:24:28] [INFO] 2024-10-17 18:24:28.004623: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
[2024-10-17 18:24:29] [INFO] 2024-10-17 18:24:29.127857: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
[2024-10-17 18:24:32] [INFO] 2024-10-17 18:24:32 INFO highvram is enabled / highvramが有効です train_util.py:4090
[2024-10-17 18:24:32] [INFO] WARNING cache_latents_to_disk is enabled, so cache_latents train_util.py:4110
[2024-10-17 18:24:32] [INFO] is also enabled /
[2024-10-17 18:24:32] [INFO] cache_latents_to_diskが有効なため、cache_latentsを有
[2024-10-17 18:24:32] [INFO] 効にします
[2024-10-17 18:24:32] [INFO] 2024-10-17 18:24:32 INFO Checking the state dict: Diffusers or BFL, dev or flux_utils.py:62
[2024-10-17 18:24:32] [INFO] schnell
[2024-10-17 18:24:32] [INFO] INFO t5xxl_max_token_length: 512 flux_train_network.py:152
[2024-10-17 18:24:33] [INFO] /usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
[2024-10-17 18:24:33] [INFO] warnings.warn(
[2024-10-17 18:24:34] [INFO] You are using the default legacy behaviour of the <class 'transformers.models.t5.tokenization_t5.T5Tokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
[2024-10-17 18:24:35] [INFO] 2024-10-17 18:24:35 INFO Loading dataset config from train_network.py:280
[2024-10-17 18:24:35] [INFO] /content/fluxgym-Colab/dataset.toml
[2024-10-17 18:24:35] [INFO] INFO prepare images. train_util.py:1942
[2024-10-17 18:24:35] [INFO] INFO get image size from name of cache files train_util.py:1859
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[2024-10-17 18:24:35] [INFO] INFO set image size from cache files: 0/35 train_util.py:1887
[2024-10-17 18:24:35] [INFO] INFO found directory train_util.py:1889
[2024-10-17 18:24:35] [INFO] /content/fluxgym-Colab/datasets/erke-20241017
[2024-10-17 18:24:35] [INFO] contains 35 image files
[2024-10-17 18:24:35] [INFO] read caption: 0%| | 0/35 [00:00<?, ?it/s]
read caption: 100%|██████████| 35/35 [00:00<00:00, 20071.18it/s]
[2024-10-17 18:24:35] [INFO] INFO 350 train images with repeating. train_util.py:1983
[2024-10-17 18:24:35] [INFO] INFO 0 reg images. train_util.py:1986
[2024-10-17 18:24:35] [INFO] WARNING no regularization images / train_util.py:1991
[2024-10-17 18:24:35] [INFO] 正則化画像が見つかりませんでした
[2024-10-17 18:24:35] [INFO] INFO [Dataset 0] config_util.py:570
[2024-10-17 18:24:35] [INFO] batch_size: 1
[2024-10-17 18:24:35] [INFO] resolution: (512, 512)
[2024-10-17 18:24:35] [INFO] enable_bucket: False
[2024-10-17 18:24:35] [INFO] network_multiplier: 1.0
[2024-10-17 18:24:35] [INFO]
[2024-10-17 18:24:35] [INFO] [Subset 0 of Dataset 0]
[2024-10-17 18:24:35] [INFO] image_dir:
[2024-10-17 18:24:35] [INFO] "/content/fluxgym-Colab/datasets/erke-20241017"
[2024-10-17 18:24:35] [INFO] image_count: 35
[2024-10-17 18:24:35] [INFO] num_repeats: 10
[2024-10-17 18:24:35] [INFO] shuffle_caption: False
[2024-10-17 18:24:35] [INFO] keep_tokens: 1
[2024-10-17 18:24:35] [INFO] keep_tokens_separator:
[2024-10-17 18:24:35] [INFO] caption_separator: ,
[2024-10-17 18:24:35] [INFO] secondary_separator: None
[2024-10-17 18:24:35] [INFO] enable_wildcard: False
[2024-10-17 18:24:35] [INFO] caption_dropout_rate: 0.0
[2024-10-17 18:24:35] [INFO] caption_dropout_every_n_epoches: 0
[2024-10-17 18:24:35] [INFO] caption_tag_dropout_rate: 0.0
[2024-10-17 18:24:35] [INFO] caption_prefix: None
[2024-10-17 18:24:35] [INFO] caption_suffix: None
[2024-10-17 18:24:35] [INFO] color_aug: False
[2024-10-17 18:24:35] [INFO] flip_aug: False
[2024-10-17 18:24:35] [INFO] face_crop_aug_range: None
[2024-10-17 18:24:35] [INFO] random_crop: False
[2024-10-17 18:24:35] [INFO] token_warmup_min: 1,
[2024-10-17 18:24:35] [INFO] token_warmup_step: 0,
[2024-10-17 18:24:35] [INFO] alpha_mask: False,
[2024-10-17 18:24:35] [INFO] is_reg: False
[2024-10-17 18:24:35] [INFO] class_tokens: Erke
[2024-10-17 18:24:35] [INFO] caption_extension: .txt
[2024-10-17 18:24:35] [INFO]
[2024-10-17 18:24:35] [INFO]
[2024-10-17 18:24:35] [INFO] INFO [Dataset 0] config_util.py:576
[2024-10-17 18:24:35] [INFO] INFO loading image sizes. train_util.py:914
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[2024-10-17 18:24:35] [INFO] INFO prepare dataset train_util.py:939
[2024-10-17 18:24:35] [INFO] INFO preparing accelerator train_network.py:345
[2024-10-17 18:24:35] [INFO] accelerator device: cuda
[2024-10-17 18:24:35] [INFO] INFO Checking the state dict: Diffusers or BFL, dev or flux_utils.py:62
[2024-10-17 18:24:35] [INFO] schnell
[2024-10-17 18:24:35] [INFO] INFO Building Flux model dev from BFL checkpoint flux_utils.py:116
[2024-10-17 18:24:35] [INFO] INFO Loading state dict from flux_utils.py:133
[2024-10-17 18:24:35] [INFO] /content/fluxgym-Colab/models/unet/flux1-dev-fp8.safe
[2024-10-17 18:24:35] [INFO] tensors
[2024-10-17 18:24:36] [INFO] 2024-10-17 18:24:36 INFO Loaded Flux: <All keys matched successfully> flux_utils.py:145
[2024-10-17 18:24:36] [INFO] INFO Loaded fp8 FLUX model flux_train_network.py:76
[2024-10-17 18:24:36] [INFO] INFO Building CLIP flux_utils.py:165
[2024-10-17 18:24:36] [INFO] INFO Loading state dict from flux_utils.py:258
[2024-10-17 18:24:36] [INFO] /content/fluxgym-Colab/models/clip/clip_l.safetensors
[2024-10-17 18:24:37] [INFO] 2024-10-17 18:24:37 INFO Loaded CLIP: <All keys matched successfully> flux_utils.py:261
[2024-10-17 18:24:37] [INFO] INFO Loading state dict from flux_utils.py:306
[2024-10-17 18:24:37] [INFO] /content/fluxgym-Colab/models/clip/t5xxl_fp8.safetens
[2024-10-17 18:24:37] [INFO] ors
[2024-10-17 18:24:38] [INFO] 2024-10-17 18:24:38 INFO Loaded T5xxl: <All keys matched successfully> flux_utils.py:309
[2024-10-17 18:24:38] [INFO] INFO Loaded fp8 T5XXL model flux_train_network.py:98
[2024-10-17 18:24:38] [INFO] INFO Building AutoEncoder flux_utils.py:152
[2024-10-17 18:24:38] [INFO] INFO Loading state dict from flux_utils.py:157
[2024-10-17 18:24:38] [INFO] /content/fluxgym-Colab/models/vae/ae.sft
[2024-10-17 18:24:38] [INFO] INFO Loaded AE: <All keys matched successfully> flux_utils.py:160
[2024-10-17 18:24:38] [INFO] import network module: networks.lora_flux
[2024-10-17 18:24:38] [INFO] INFO [Dataset 0] train_util.py:2466
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[2024-10-17 18:24:57] [INFO] 2024-10-17 18:24:57 INFO move vae and unet to cpu to save memory flux_train_network.py:205
[2024-10-17 18:24:58] [INFO] 2024-10-17 18:24:58 INFO move text encoders to gpu flux_train_network.py:213
[2024-10-17 18:25:21] [INFO] 2024-10-17 18:25:21 INFO prepare T5XXL for fp8: set to flux_train_network.py:493
[2024-10-17 18:25:21] [INFO] torch.float8_e4m3fn, set embeddings to
[2024-10-17 18:25:21] [INFO] torch.bfloat16, add hooks
[2024-10-17 18:25:21] [INFO] INFO [Dataset 0] train_util.py:2488
[2024-10-17 18:25:21] [INFO] INFO caching Text Encoder outputs with caching strategy. train_util.py:1218
[2024-10-17 18:25:21] [INFO] INFO checking cache validity... train_util.py:1229
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[2024-10-17 18:25:21] [INFO] 0%| | 0/35 [00:00<?, ?it/s] WARNING T5 model is using fp8 weights for caching. This strategy_flux.py:150
[2024-10-17 18:25:21] [INFO] may affect the quality of the cached outputs. /
[2024-10-17 18:25:21] [INFO] T5モデルはfp8の重みを使用しています。これはキャッ
[2024-10-17 18:25:21] [INFO] シュの品質に影響を与える可能性があります。
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[2024-10-17 18:26:36] [INFO] 2024-10-17 18:26:36 INFO cache Text Encoder outputs for sample prompt: flux_train_network.py:229
[2024-10-17 18:26:36] [INFO] /content/fluxgym-Colab/sample_prompts.txt
[2024-10-17 18:26:36] [INFO] INFO cache Text Encoder outputs for prompt: flux_train_network.py:240
[2024-10-17 18:26:36] [INFO] Generate a portrait of Erke in a serene
[2024-10-17 18:26:36] [INFO] setting, showcasing their unique facial
[2024-10-17 18:26:36] [INFO] features and expressions. Use soft, natural
[2024-10-17 18:26:36] [INFO] lighting to highlight their characteristics
[2024-10-17 18:26:36] [INFO] and maintain a realistic style.
[2024-10-17 18:26:36] [INFO] INFO cache Text Encoder outputs for prompt: flux_train_network.py:240
[2024-10-17 18:26:38] [INFO] 2024-10-17 18:26:38 INFO move t5XXL back to cpu flux_train_network.py:253
[2024-10-17 18:26:44] [INFO] 2024-10-17 18:26:44 INFO move vae and unet back to original device flux_train_network.py:258
[2024-10-17 18:26:44] [INFO] INFO create LoRA network. base dim (rank): 4, alpha: 1 lora_flux.py:594
[2024-10-17 18:26:44] [INFO] INFO neuron dropout: p=None, rank dropout: p=None, module lora_flux.py:595
[2024-10-17 18:26:44] [INFO] dropout: p=None
[2024-10-17 18:26:44] [INFO] INFO train all blocks only lora_flux.py:605
[2024-10-17 18:26:44] [INFO] INFO create LoRA for Text Encoder 1: lora_flux.py:741
[2024-10-17 18:26:44] [INFO] INFO create LoRA for Text Encoder 1: 72 modules. lora_flux.py:744
[2024-10-17 18:26:45] [INFO] 2024-10-17 18:26:45 INFO create LoRA for FLUX all blocks: 304 modules. lora_flux.py:765
[2024-10-17 18:26:45] [INFO] INFO enable LoRA for text encoder: 72 modules lora_flux.py:911
[2024-10-17 18:26:45] [INFO] INFO enable LoRA for U-Net: 304 modules lora_flux.py:916
[2024-10-17 18:26:45] [INFO] FLUX: Gradient checkpointing enabled. CPU offload: False
[2024-10-17 18:26:45] [INFO] prepare optimizer, data loader etc.
[2024-10-17 18:26:45] [INFO] INFO Text Encoder 1 (CLIP-L): 72 modules, LR 0.0008 lora_flux.py:1018
[2024-10-17 18:26:45] [INFO] INFO use Adafactor optimizer | {'relative_step': False, train_util.py:4735
[2024-10-17 18:26:45] [INFO] 'scale_parameter': False, 'warmup_init': False}
[2024-10-17 18:26:45] [INFO] override steps. steps for 16 epochs is / 指定エポックまでのステップ数: 5600
[2024-10-17 18:26:45] [INFO] enable fp8 training for U-Net.
[2024-10-17 18:26:45] [INFO] enable fp8 training for Text Encoder.
[2024-10-17 18:27:41] [INFO] 2024-10-17 18:27:41 INFO prepare CLIP-L for fp8: set to flux_train_network.py:464
[2024-10-17 18:27:41] [INFO] torch.float8_e4m3fn, set embeddings to
[2024-10-17 18:27:41] [INFO] torch.bfloat16
[2024-10-17 18:27:42] [INFO] running training / 学習開始
[2024-10-17 18:27:42] [INFO] num train images * repeats / 学習画像の数×繰り返し回数: 350
[2024-10-17 18:27:42] [INFO] num reg images / 正則化画像の数: 0
[2024-10-17 18:27:42] [INFO] num batches per epoch / 1epochのバッチ数: 350
[2024-10-17 18:27:42] [INFO] num epochs / epoch数: 16
[2024-10-17 18:27:42] [INFO] batch size per device / バッチサイズ: 1
[2024-10-17 18:27:42] [INFO] gradient accumulation steps / 勾配を合計するステップ数 = 1
[2024-10-17 18:27:42] [INFO] total optimization steps / 学習ステップ数: 5600
[2024-10-17 18:28:58] [INFO] steps: 0%| | 0/5600 [00:00<?, ?it/s]2024-10-17 18:28:58 INFO unet dtype: torch.float8_e4m3fn, device: cuda:0 train_network.py:1060
[2024-10-17 18:28:58] [INFO] INFO text_encoder [0] dtype: torch.float8_e4m3fn, train_network.py:1066
[2024-10-17 18:28:58] [INFO] device: cuda:0
[2024-10-17 18:28:58] [INFO] INFO text_encoder [1] dtype: torch.float8_e4m3fn, train_network.py:1066
[2024-10-17 18:28:58] [INFO] device: cpu
[2024-10-17 18:28:58] [INFO]
[2024-10-17 18:28:58] [INFO] epoch 1/16
[2024-10-17 18:28:58] [INFO] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
[2024-10-17 18:28:58] [INFO] To disable this warning, you can either:
[2024-10-17 18:28:58] [INFO] - Avoid using `tokenizers` before the fork if possible
[2024-10-17 18:28:58] [INFO] - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
[2024-10-17 18:28:58] [INFO] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
[2024-10-17 18:28:58] [INFO] To disable this warning, you can either:
[2024-10-17 18:28:58] [INFO] - Avoid using `tokenizers` before the fork if possible
[2024-10-17 18:28:58] [INFO] - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
[2024-10-17 18:28:58] [INFO] INFO epoch is incremented. current_epoch: 0, epoch: 1 train_util.py:706
[2024-10-17 18:28:58] [INFO] INFO epoch is incremented. current_epoch: 0, epoch: 1 train_util.py:706
[2024-10-17 18:29:08] [INFO] /usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:1399: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
[2024-10-17 18:29:08] [INFO] with device_autocast_ctx, torch.cpu.amp.autocast(**cpu_autocast_kwargs), recompute_context: # type: ignore[attr-defined]
[2024-10-17 18:29:30] [INFO] /usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
[2024-10-17 18:29:30] [INFO] with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]Editor is loading...