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train-wefadoor-master

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  1. adbase-step=35000.ckpt +0 -3
  2. anydoor/image_log/train/conditioning_gs-000000_e-000000_b-000000.png +2 -2
  3. anydoor/image_log/train/conditioning_gs-000625_e-000001_b-000000.png +2 -2
  4. anydoor/image_log/train/control_gs-000000_e-000000_b-000000.png +2 -2
  5. anydoor/image_log/train/control_gs-000625_e-000001_b-000000.png +2 -2
  6. anydoor/image_log/train/reconstruction_gs-000000_e-000000_b-000000.png +2 -2
  7. anydoor/image_log/train/reconstruction_gs-000625_e-000001_b-000000.png +2 -2
  8. anydoor/image_log/train/samples_cfg_scale_9.00_gs-000000_e-000000_b-000000.png +2 -2
  9. anydoor/image_log/train/samples_cfg_scale_9.00_gs-000625_e-000001_b-000000.png +2 -2
  10. anydoor/run_train_anydoor.py +1 -1
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anydoor/run_train_anydoor.py CHANGED
@@ -32,7 +32,7 @@ if save_memory:
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  enable_sliced_attention()
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  # Configs
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- resume_path = '/work/wefa-door-master/anydoor/lightning_logs/version_0/checkpoints/epoch=1-step=1249.ckpt'
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  batch_size = 16
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  logger_freq = 1000
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  learning_rate = 1e-5
 
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  enable_sliced_attention()
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  # Configs
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+ resume_path = '/work/wefa-door-master/adbase-step=44375.ckpt'
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  batch_size = 16
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  logger_freq = 1000
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  learning_rate = 1e-5