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+Loading settings from /content/LoRA/config/config_file.toml...
+/content/LoRA/config/config_file
+prepare tokenizer
+update token length: 225
+Load dataset config from /content/LoRA/config/dataset_config.toml
+prepare images.
+found directory /content/LoRA/train_data contains 14 image files
+2800 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: 6
+  resolution: (512, 512)
+  enable_bucket: True
+  min_bucket_reso: 256
+  max_bucket_reso: 1024
+  bucket_reso_steps: 64
+  bucket_no_upscale: False
+
+  [Subset 0 of Dataset 0]
+    image_dir: "/content/LoRA/train_data"
+    image_count: 14
+    num_repeats: 200
+    shuffle_caption: True
+    keep_tokens: 0
+    caption_dropout_rate: 0
+    caption_dropout_every_n_epoches: 0
+    caption_tag_dropout_rate: 0
+    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: mksks
+    caption_extension: .txt
+
+
+[Dataset 0]
+loading image sizes.
+100% 14/14 [00:00<00:00, 1641.01it/s]
+make buckets
+number of images (including repeats) / 各bucketの画像枚数（繰り返し回数を含む）
+bucket 0: resolution (256, 832), count: 400
+bucket 1: resolution (448, 576), count: 800
+bucket 2: resolution (512, 512), count: 800
+bucket 3: resolution (704, 320), count: 800
+mean ar error (without repeats): 0.0496656946415151
+prepare accelerator
+Using accelerator 0.15.0 or above.
+loading model for process 0/1
+load StableDiffusion checkpoint
+loading u-net: <All keys matched successfully>
+loading vae: <All keys matched successfully>
+Downloading (…)lve/main/config.json: 100% 4.52k/4.52k [00:00<00:00, 3.94MB/s]
+Downloading pytorch_model.bin: 100% 1.71G/1.71G [00:23<00:00, 71.5MB/s]
+loading text encoder: <All keys matched successfully>
+Replace CrossAttention.forward to use xformers
+[Dataset 0]
+caching latents.
+100% 4/4 [00:08<00:00,  2.15s/it]
+import network module: lycoris.kohya
+Using rank adaptation algo: lora
+Use Dropout value: 0.0
+Create LyCORIS Module
+create LyCORIS for Text Encoder: 72 modules.
+Create LyCORIS Module
+create LyCORIS for U-Net: 278 modules.
+enable LyCORIS for text encoder
+enable LyCORIS for U-Net
+prepare optimizer, data loader etc.
+Deprecated: use prepare_optimizer_params(text_encoder_lr, unet_lr, learning_rate) instead of prepare_optimizer_params(text_encoder_lr, unet_lr)
+CUDA SETUP: CUDA runtime path found: /usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudart.so
+CUDA SETUP: Highest compute capability among GPUs detected: 7.5
+CUDA SETUP: Detected CUDA version 118
+CUDA SETUP: Loading binary /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda118.so...
+use 8-bit AdamW optimizer | {}
+override steps. steps for 2 epochs is / 指定エポックまでのステップ数: 938
+running training / 学習開始
+  num train images * repeats / 学習画像の数×繰り返し回数: 2800
+  num reg images / 正則化画像の数: 0
+  num batches per epoch / 1epochのバッチ数: 469
+  num epochs / epoch数: 2
+  batch size per device / バッチサイズ: 6
+  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: 938
+steps:   0% 0/938 [00:00<?, ?it/s]epoch 1/2
+steps:  50% 469/938 [11:36<11:36,  1.48s/it, loss=0.0825]saving checkpoint: /content/drive/MyDrive/LoRA/output/megum_AnyLoRA_LocLys-000001.safetensors
+generating sample images at step / サンプル画像生成 ステップ: 469
+prompt: (masterpiece, best quality, highres), 1 girl, solo, 20 years drunk japanese girl, big cute green eyes:1.3, cute sharp face, two side up:1.4, long pink hair, hair ribon, bangs, white shirt, brown plaid skirt, blue jacket around waist  
+negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry  
+height: 768
+width: 512
+sample_steps: 28
+scale: 7.0
+
+  0% 0/28 [00:00<?, ?it/s]
+  4% 1/28 [00:00<00:13,  1.95it/s]
+  7% 2/28 [00:00<00:10,  2.49it/s]
+ 11% 3/28 [00:01<00:09,  2.70it/s]
+ 14% 4/28 [00:01<00:08,  2.79it/s]
+ 18% 5/28 [00:01<00:08,  2.86it/s]
+ 21% 6/28 [00:02<00:07,  2.91it/s]
+ 25% 7/28 [00:02<00:07,  2.94it/s]
+ 29% 8/28 [00:02<00:06,  2.96it/s]
+ 32% 9/28 [00:03<00:06,  2.97it/s]
+ 36% 10/28 [00:03<00:06,  2.97it/s]
+ 39% 11/28 [00:03<00:05,  2.98it/s]
+ 43% 12/28 [00:04<00:05,  2.99it/s]
+ 46% 13/28 [00:04<00:05,  2.99it/s]
+ 50% 14/28 [00:04<00:04,  2.99it/s]
+ 54% 15/28 [00:05<00:04,  2.99it/s]
+ 57% 16/28 [00:05<00:04,  2.99it/s]
+ 61% 17/28 [00:05<00:03,  2.99it/s]
+ 64% 18/28 [00:06<00:03,  2.99it/s]
+ 68% 19/28 [00:06<00:03,  2.99it/s]
+ 71% 20/28 [00:06<00:02,  2.99it/s]
+ 75% 21/28 [00:07<00:02,  2.99it/s]
+ 79% 22/28 [00:07<00:02,  2.99it/s]
+ 82% 23/28 [00:07<00:01,  2.99it/s]
+ 86% 24/28 [00:08<00:01,  2.99it/s]
+ 89% 25/28 [00:08<00:01,  2.99it/s]
+ 93% 26/28 [00:08<00:00,  2.99it/s]
+ 96% 27/28 [00:09<00:00,  3.00it/s]
+100% 28/28 [00:09<00:00,  2.94it/s]
+epoch 2/2
+steps: 100% 938/938 [23:22<00:00,  1.50s/it, loss=0.0495]generating sample images at step / サンプル画像生成 ステップ: 938
+prompt: (masterpiece, best quality, highres), 1 girl, solo, 20 years drunk japanese girl, big cute green eyes:1.3, cute sharp face, two side up:1.4, long pink hair, hair ribon, bangs, white shirt, brown plaid skirt, blue jacket around waist  
+negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry  
+height: 768
+width: 512
+sample_steps: 28
+scale: 7.0
+
+  0% 0/28 [00:00<?, ?it/s]
+  4% 1/28 [00:00<00:08,  3.05it/s]
+  7% 2/28 [00:00<00:08,  3.01it/s]
+ 11% 3/28 [00:01<00:08,  2.96it/s]
+ 14% 4/28 [00:01<00:08,  2.98it/s]
+ 18% 5/28 [00:01<00:07,  2.99it/s]
+ 21% 6/28 [00:02<00:07,  2.98it/s]
+ 25% 7/28 [00:02<00:07,  2.98it/s]
+ 29% 8/28 [00:02<00:06,  2.99it/s]
+ 32% 9/28 [00:03<00:06,  2.99it/s]
+ 36% 10/28 [00:03<00:06,  2.99it/s]
+ 39% 11/28 [00:03<00:05,  2.99it/s]
+ 43% 12/28 [00:04<00:05,  2.99it/s]
+ 46% 13/28 [00:04<00:05,  2.99it/s]
+ 50% 14/28 [00:04<00:04,  2.99it/s]
+ 54% 15/28 [00:05<00:04,  2.99it/s]
+ 57% 16/28 [00:05<00:04,  2.99it/s]
+ 61% 17/28 [00:05<00:03,  2.99it/s]
+ 64% 18/28 [00:06<00:03,  3.00it/s]
+ 68% 19/28 [00:06<00:03,  2.99it/s]
+ 71% 20/28 [00:06<00:02,  2.99it/s]
+ 75% 21/28 [00:07<00:02,  3.00it/s]
+ 79% 22/28 [00:07<00:02,  3.00it/s]
+ 82% 23/28 [00:07<00:01,  2.99it/s]
+ 86% 24/28 [00:08<00:01,  3.00it/s]
+ 89% 25/28 [00:08<00:01,  2.99it/s]
+ 93% 26/28 [00:08<00:00,  2.99it/s]
+ 96% 27/28 [00:09<00:00,  2.99it/s]
+100% 28/28 [00:09<00:00,  2.99it/s]
+save trained model to /content/drive/MyDrive/LoRA/output/megum_AnyLoRA_LocLys.safetensors
+model saved.
+steps: 100% 938/938 [23:34<00:00,  1.51s/it, loss=0.0495]