Upload output.log
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logs/20260219132149/wandb/run-20260219_132310-6vcfa9u3/files/output.log
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[2;36m2026-02-19 13:23:11[0m[2;36m [0m[34mINFO [0m unet dtype: torch.float16, ]8;id=917019;file:///kaggle/sd-scripts/train_network.py\[2mtrain_network.py[0m]8;;\[2m:[0m]8;id=434536;file:///kaggle/sd-scripts/train_network.py#1347\[2m1347[0m]8;;\
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[2;36m [0m device: cu[1;92mda:0[0m [2m [0m
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[2;36m [0m[2;36m [0m[34mINFO [0m text_encoder [1m[[0m[1;36m0[0m[1m][0m dtype: ]8;id=438542;file:///kaggle/sd-scripts/train_network.py\[2mtrain_network.py[0m]8;;\[2m:[0m]8;id=809695;file:///kaggle/sd-scripts/train_network.py#1353\[2m1353[0m]8;;\
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[2;36m [0m torch.float16, device: cu[1;92mda:0[0m [2m [0m
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[2;36m [0m[2;36m [0m[34mINFO [0m text_encoder [1m[[0m[1;36m1[0m[1m][0m dtype: ]8;id=466985;file:///kaggle/sd-scripts/train_network.py\[2mtrain_network.py[0m]8;;\[2m:[0m]8;id=66989;file:///kaggle/sd-scripts/train_network.py#1353\[2m1353[0m]8;;\
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[2;36m [0m torch.float16, device: cu[1;92mda:0[0m [2m [0m
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steps: 100%|█████████████████████| 22/22 [05:27<00:00, 14.87s/it, avr_loss=0.11]
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epoch 1/2
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saving checkpoint: /kaggle/working/model/ill-xl-01-na_kyo_3/ill-xl-01-na_kyo_3-000001.safetensors
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epoch 2/2
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