End of training
Browse files- README.md +4 -5
- checkpoint-1000/optimizer.bin +2 -2
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +2 -2
- checkpoint-1000/scheduler.bin +1 -1
- checkpoint-2000/optimizer.bin +2 -2
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +2 -2
- checkpoint-2000/scheduler.bin +1 -1
- logs/dreambooth-lora/1703830961.823458/events.out.tfevents.1703830961.c4c9e108d12d.93.1 +3 -0
- logs/dreambooth-lora/1703830961.8260417/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1703830961.c4c9e108d12d.93.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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# DreamBooth - giangvlcs/LongGiang_dreambooth_face_v2
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You can find some example images in the following.
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- stable-diffusion-diffusers
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- text-to-image
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- lora
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inference: true
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---
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# LoRA DreamBooth - giangvlcs/LongGiang_dreambooth_face_v2
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on sks man portrait using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: True.
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checkpoint-1000/optimizer.bin
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checkpoint-2000/pytorch_lora_weights.safetensors
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logs/dreambooth-lora/1703830961.823458/events.out.tfevents.1703830961.c4c9e108d12d.93.1
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logs/dreambooth-lora/1703830961.8260417/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: 1000
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checkpoints_total_limit: null
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class_data_dir: original_man
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class_labels_conditioning: null
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class_prompt: man portrait
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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: 2
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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: /kaggle/input/longgiang-face-v2/longgiang_face
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instance_prompt: sks man portrait
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learning_rate: 5.0e-05
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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: 2000
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mixed_precision: null
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num_class_images: 256
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num_train_epochs: 16
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num_validation_images: 4
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output_dir: LongGiang_dreambooth_face_v2
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pre_compute_text_embeddings: false
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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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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rank: 4
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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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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: 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_epochs: 50
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validation_prompt: null
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variant: null
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with_prior_preservation: true
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logs/dreambooth-lora/events.out.tfevents.1703830961.c4c9e108d12d.93.0
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size 335574
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pytorch_lora_weights.safetensors
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