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Rowan_u

Train Error

Rowan_u
Oct 2nd, 2022
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  1. (ldm) PS D:\Dreambooth\Dreambooth-SD-optimized> python main.py --base configs/stable-diffusion/v1-finetune_unfrozen.yaml --train --actual_resume models/ldm/stable-diffusion-v1/sd-v1-4-full-ema.ckpt --name jacobpederson --gpus 1, --data_root training/face --reg_data_root classes/class-face-samples --class_word man
  2. Global seed set to 23
  3. Running on GPUs 1
  4. Loading model from models/ldm/stable-diffusion-v1/sd-v1-4-full-ema.ckpt
  5. LatentDiffusion: Running in eps-prediction mode
  6. DiffusionWrapper has 859.52 M params.
  7. making attention of type 'vanilla' with 512 in_channels
  8. Working with z of shape (1, 4, 64, 64) = 16384 dimensions.
  9. making attention of type 'vanilla' with 512 in_channels
  10. Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.22.layer_norm1.bias', 'vision_model.encoder.layers.7.self_attn.v_proj.bias', 'vision_model.encoder.layers.20.layer_norm1.bias', 'vision_model.encoder.layers.2.self_attn.q_proj.bias', 'vision_model.encoder.layers.10.layer_norm1.weight', 'vision_model.encoder.layers.5.self_attn.out_proj.bias', 'vision_model.encoder.layers.15.self_attn.out_proj.weight', 'vision_model.embeddings.class_embedding', 'vision_model.encoder.layers.7.self_attn.q_proj.weight', 'vision_model.encoder.layers.8.self_attn.out_proj.bias', 'vision_model.encoder.layers.13.layer_norm1.weight', 'vision_model.encoder.layers.1.self_attn.out_proj.bias', 'vision_model.encoder.layers.4.mlp.fc1.bias', 'vision_model.encoder.layers.16.self_attn.out_proj.bias', 'vision_model.encoder.layers.12.mlp.fc2.weight', 'vision_model.encoder.layers.7.layer_norm2.bias', 'vision_model.encoder.layers.9.layer_norm1.bias', 'vision_model.encoder.layers.5.mlp.fc1.weight', 'vision_model.encoder.layers.12.layer_norm1.bias', 'vision_model.encoder.layers.12.self_attn.k_proj.bias', 'vision_model.encoder.layers.14.self_attn.k_proj.weight', 'vision_model.encoder.layers.2.self_attn.out_proj.bias', 'vision_model.encoder.layers.15.mlp.fc2.weight', 'vision_model.encoder.layers.11.self_attn.v_proj.weight', 'vision_model.encoder.layers.15.self_attn.k_proj.bias', 'vision_model.encoder.layers.3.mlp.fc2.bias', 'vision_model.encoder.layers.22.self_attn.k_proj.weight', 'vision_model.encoder.layers.8.self_attn.q_proj.bias', 'vision_model.encoder.layers.0.self_attn.v_proj.weight', 'vision_model.encoder.layers.10.mlp.fc2.bias', 'vision_model.embeddings.position_ids', 'vision_model.embeddings.position_embedding.weight', 'vision_model.encoder.layers.4.mlp.fc2.weight', 'vision_model.encoder.layers.18.mlp.fc2.weight', 'vision_model.encoder.layers.15.mlp.fc2.bias', 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'vision_model.encoder.layers.0.mlp.fc2.bias', 'vision_model.encoder.layers.13.self_attn.out_proj.weight', 'vision_model.pre_layrnorm.weight', 'vision_model.encoder.layers.5.mlp.fc2.weight', 'vision_model.encoder.layers.4.mlp.fc1.weight', 'vision_model.encoder.layers.8.self_attn.out_proj.weight', 'text_projection.weight', 'vision_model.encoder.layers.10.self_attn.q_proj.weight', 'vision_model.encoder.layers.23.mlp.fc1.weight', 'vision_model.encoder.layers.22.self_attn.v_proj.weight', 'vision_model.encoder.layers.15.mlp.fc1.weight']
  11. - This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
  12. - This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
  13. Restored from models/ldm/stable-diffusion-v1/sd-v1-4-full-ema.ckpt with 0 missing and 688 unexpected keys
  14. Unexpected Keys: ['model_ema.decay', 'model_ema.num_updates', 'model_ema.diffusion_modeltime_embed0weight', 'model_ema.diffusion_modeltime_embed0bias', 'model_ema.diffusion_modeltime_embed2weight', 'model_ema.diffusion_modeltime_embed2bias', 'model_ema.diffusion_modelinput_blocks00weight', 'model_ema.diffusion_modelinput_blocks00bias', 'model_ema.diffusion_modelinput_blocks10in_layers0weight', 'model_ema.diffusion_modelinput_blocks10in_layers0bias', 'model_ema.diffusion_modelinput_blocks10in_layers2weight', 'model_ema.diffusion_modelinput_blocks10in_layers2bias', 'model_ema.diffusion_modelinput_blocks10emb_layers1weight', 'model_ema.diffusion_modelinput_blocks10emb_layers1bias', 'model_ema.diffusion_modelinput_blocks10out_layers0weight', 'model_ema.diffusion_modelinput_blocks10out_layers0bias', 'model_ema.diffusion_modelinput_blocks10out_layers3weight', 'model_ema.diffusion_modelinput_blocks10out_layers3bias', 'model_ema.diffusion_modelinput_blocks11normweight', 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'model_ema.diffusion_modeloutput_blocks111transformer_blocks0attn2to_kweight', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0attn2to_vweight', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0attn2to_out0weight', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0attn2to_out0bias', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0norm1weight', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0norm1bias', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0norm2weight', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0norm2bias', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0norm3weight', 'model_ema.diffusion_modeloutput_blocks111transformer_blocks0norm3bias', 'model_ema.diffusion_modeloutput_blocks111proj_outweight', 'model_ema.diffusion_modeloutput_blocks111proj_outbias', 'model_ema.diffusion_modelout0weight', 'model_ema.diffusion_modelout0bias', 'model_ema.diffusion_modelout2weight', 'model_ema.diffusion_modelout2bias']
  15. D:\Anaconda\envs\ldm\lib\site-packages\pytorch_lightning\loggers\test_tube.py:104: LightningDeprecationWarning: The TestTubeLogger is deprecated since v1.5 and will be removed in v1.7. We recommend switching to the `pytorch_lightning.loggers.TensorBoardLogger` as an alternative.
  16. rank_zero_deprecation(
  17. Monitoring val/loss_simple_ema as checkpoint metric.
  18. Merged modelckpt-cfg:
  19. {'target': 'pytorch_lightning.callbacks.ModelCheckpoint', 'params': {'dirpath': 'logs\\face2022-10-02T11-20-17_jacobpederson\\checkpoints', 'filename': '{epoch:06}', 'verbose': True, 'save_last': True, 'monitor': 'val/loss_simple_ema', 'save_top_k': 1, 'every_n_train_steps': 500}}
  20. GPU available: True, used: True
  21. TPU available: False, using: 0 TPU cores
  22. IPU available: False, using: 0 IPUs
  23. #### Data #####
  24. train, PersonalizedBase, 5200
  25. reg, PersonalizedBase, 1280
  26. validation, PersonalizedBase, 52
  27.  
  28. Traceback (most recent call last):
  29. File "main.py", line 792, in <module>
  30. ngpu = len(lightning_config.trainer.gpus.strip(",").split(','))
  31. AttributeError: 'int' object has no attribute 'strip'
  32. (ldm) PS D:\Dreambooth\Dreambooth-SD-optimized>
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