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character-demo-1000

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  1. checkpoint-1000/optimizer.bin +1 -1
  2. checkpoint-1000/pytorch_model.bin +1 -1
  3. checkpoint-1000/random_states_0.pkl +1 -1
  4. logs/text2image-fine-tune/1678166684.922972/events.out.tfevents.1678166684.cdr2609.int.cedar.computecanada.ca.206411.1 +3 -0
  5. logs/text2image-fine-tune/1678166684.9499948/hparams.yml +43 -0
  6. logs/text2image-fine-tune/1678167363.13497/events.out.tfevents.1678167363.cdr2609.int.cedar.computecanada.ca.207095.1 +3 -0
  7. logs/text2image-fine-tune/1678167363.1401482/hparams.yml +43 -0
  8. logs/text2image-fine-tune/events.out.tfevents.1678166684.cdr2609.int.cedar.computecanada.ca.206411.0 +3 -0
  9. logs/text2image-fine-tune/events.out.tfevents.1678167363.cdr2609.int.cedar.computecanada.ca.207095.0 +3 -0
  10. model_index.json +5 -1
  11. unet/diffusion_pytorch_model.bin +1 -1
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+ dataset_config_name: null
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+ dataset_name: JAWCF/characters
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+ num_train_epochs: 167
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+ output_dir: sd-characters-1000
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ push_to_hub: false
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+ random_flip: true
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+ resolution: 512
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+ num_train_epochs: 167
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+ output_dir: sd-characters-1000
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ push_to_hub: false
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+ random_flip: true
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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  "transformers",
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  "scheduler": [
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  "PNDMScheduler"
 
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  "transformers",
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  "CLIPFeatureExtractor"
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  ],
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