End of training
Browse files
<new1>.bin
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logs/custom-diffusion/1706451018.7706797/events.out.tfevents.1706451018.node-0.2746.1
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version https://git-lfs.github.com/spec/v1
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logs/custom-diffusion/1706451019.187642/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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allow_tf32: false
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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: null
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class_name: little blue heron
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class_prompt: null
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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: true
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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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idx: 11
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initializer_token: ktn+pll+ucd
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instance_data_dir: /mnt/default/imagenet/images/train_medium/n02009229
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instance_prompt: a photo of <new1> little blue heron
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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: null
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mixed_precision: fp16
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modifier_token: <new1>
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no_safe_serialization: true
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noaug: false
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num_class_images: 200
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num_train_epochs: 5
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num_validation_images: 2
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output_dir: /mnt/default/custom_diffusion_models_medium/11
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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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: false
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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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| 50 |
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scale_lr: true
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seed: 42
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set_grads_to_none: false
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tokenizer_name: null
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train_batch_size: 4
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use_8bit_adam: true
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validation_prompt: null
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validation_steps: 50
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with_prior_preservation: false
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| 59 |
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wnid: n02009229
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logs/custom-diffusion/events.out.tfevents.1706451018.node-0.2746.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f0c315cca578335c8161113f7de68e97e735196066cc080524f368a6cf19914
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size 10338
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pytorch_custom_diffusion_weights.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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