End of training
Browse files- README.md +2 -1
- checkpoint-500/optimizer.bin +2 -2
- checkpoint-500/random_states_0.pkl +1 -1
- checkpoint-500/scheduler.bin +1 -1
- checkpoint-500/text_encoder/config.json +25 -0
- checkpoint-500/text_encoder/model.safetensors +3 -0
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +1 -1
- logs/dreambooth/1733956653.6779387/events.out.tfevents.1733956653.jupyter-yzhu16.2783.1 +3 -0
- logs/dreambooth/1733956653.685191/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1733956653.jupyter-yzhu16.2783.0 +3 -0
- text_encoder/model.safetensors +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
README.md
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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-
- text-to-image
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- diffusers
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- lora
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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- diffusers
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- lora
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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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checkpoint-500/optimizer.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scheduler.bin
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checkpoint-500/text_encoder/config.json
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{
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"_name_or_path": "CompVis/stable-diffusion-v1-4",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "float32",
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"transformers_version": "4.47.0",
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"vocab_size": 49408
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}
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checkpoint-500/text_encoder/model.safetensors
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checkpoint-500/unet/diffusion_pytorch_model.safetensors
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logs/dreambooth/1733956653.6779387/events.out.tfevents.1733956653.jupyter-yzhu16.2783.1
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logs/dreambooth/1733956653.685191/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: 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: 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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| 37 |
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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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| 44 |
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sample_batch_size: 4
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scale_lr: false
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| 46 |
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seed: null
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| 47 |
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set_grads_to_none: false
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| 48 |
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skip_save_text_encoder: false
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| 49 |
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snr_gamma: null
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| 50 |
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text_encoder_use_attention_mask: false
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| 51 |
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tokenizer_max_length: null
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| 52 |
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tokenizer_name: null
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| 53 |
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train_batch_size: 1
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| 54 |
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train_text_encoder: true
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| 55 |
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use_8bit_adam: true
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| 56 |
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validation_prompt: null
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| 57 |
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validation_scheduler: DPMSolverMultistepScheduler
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| 58 |
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validation_steps: 100
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| 59 |
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variant: null
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| 60 |
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with_prior_preservation: true
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logs/dreambooth/events.out.tfevents.1733956653.jupyter-yzhu16.2783.0
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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