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StableDiffusionPipeline
dreambooth
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dashabalashova commited on
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End of training

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Files changed (9) hide show
  1. checkpoint-500/optimizer.bin +1 -1
  2. checkpoint-500/random_states_0.pkl +2 -2
  3. checkpoint-500/text_encoder/model.safetensors +1 -1
  4. checkpoint-500/unet/diffusion_pytorch_model.safetensors +1 -1
  5. logs/dreambooth/1758476944.8120604/events.out.tfevents.1758476944.computeinstance-e00kxjtwam1jk2gv8m.21392.1 +3 -0
  6. logs/dreambooth/1758476944.813198/hparams.yml +60 -0
  7. logs/dreambooth/events.out.tfevents.1758476944.computeinstance-e00kxjtwam1jk2gv8m.21392.0 +3 -0
  8. text_encoder/model.safetensors +1 -1
  9. unet/diffusion_pytorch_model.safetensors +1 -1
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ allow_tf32: false
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+ center_crop: false
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+ checkpointing_steps: 500
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+ checkpoints_total_limit: null
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+ class_data_dir: path-to-class-images
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+ class_labels_conditioning: null
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+ class_prompt: a photo of dog
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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: true
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+ hub_model_id: null
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+ hub_token: null
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+ instance_data_dir: dataset/dog
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 2.0e-06
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_steps: 800
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+ mixed_precision: null
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+ num_class_images: 200
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+ num_train_epochs: 4
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+ num_validation_images: 4
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+ offset_noise: false
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+ output_dir: path-to-save-model
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ prior_generation_precision: null
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+ prior_loss_weight: 1.0
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+ push_to_hub: 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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+ revision: null
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+ sample_batch_size: 4
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+ scale_lr: false
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+ seed: null
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+ train_batch_size: 1
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+ train_text_encoder: true
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+ use_8bit_adam: true
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+ validation_prompt: null
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+ validation_scheduler: DPMSolverMultistepScheduler
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+ validation_steps: 100
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+ variant: null
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+ with_prior_preservation: true
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