End of training
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- checkpoint-250/model.safetensors +1 -1
- checkpoint-250/model_1.safetensors +1 -1
- checkpoint-250/optimizer.bin +1 -1
- checkpoint-250/random_states_0.pkl +1 -1
- checkpoint-250/scheduler.bin +1 -1
- logs/custom-diffusion/1734956919.173678/events.out.tfevents.1734956919.33021c89f921.263969.1 +3 -0
- logs/custom-diffusion/1734956919.17544/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1734956919.33021c89f921.263969.0 +3 -0
- pytorch_custom_diffusion_weights.safetensors +1 -1
<new1>.safetensors
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logs/custom-diffusion/1734956919.17544/hparams.yml
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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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adam_weight_decay: 0.01
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center_crop: false
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checkpointing_steps: 250
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checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_cat/
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class_prompt: cat
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concepts_list: null
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dataloader_num_workers: 2
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enable_xformers_memory_efficient_attention: false
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freeze_model: crossattn_kv
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hflip: true
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hub_model_id: null
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hub_token: null
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initializer_token: ktn+pll+ucd
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instance_data_dir: ./data/cat2
|
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instance_prompt: photo of a <new1> cat
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learning_rate: 1.0e-05
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local_rank: -1
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logging_dir: logs
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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: 250
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mixed_precision: null
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modifier_token: <new1>
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no_safe_serialization: false
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noaug: false
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num_class_images: 200
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num_train_epochs: 1
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num_validation_images: 2
|
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output_dir: ./saved_cat2_model
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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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real_prior: 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: true
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seed: 42
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logs/custom-diffusion/events.out.tfevents.1734956919.33021c89f921.263969.0
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