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nekolora1

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Diffusers
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stable-diffusion
stable-diffusion-diffusers
lora
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  1. README.md +17 -0
  2. checkpoint-1000/custom_checkpoint_0.pkl +3 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/pytorch_model.bin +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scaler.pt +3 -0
  7. checkpoint-1000/scheduler.bin +3 -0
  8. checkpoint-1500/custom_checkpoint_0.pkl +3 -0
  9. checkpoint-1500/optimizer.bin +3 -0
  10. checkpoint-1500/pytorch_model.bin +3 -0
  11. checkpoint-1500/random_states_0.pkl +3 -0
  12. checkpoint-1500/scaler.pt +3 -0
  13. checkpoint-1500/scheduler.bin +3 -0
  14. checkpoint-2000/custom_checkpoint_0.pkl +3 -0
  15. checkpoint-2000/optimizer.bin +3 -0
  16. checkpoint-2000/pytorch_model.bin +3 -0
  17. checkpoint-2000/random_states_0.pkl +3 -0
  18. checkpoint-2000/scaler.pt +3 -0
  19. checkpoint-2000/scheduler.bin +3 -0
  20. checkpoint-500/custom_checkpoint_0.pkl +3 -0
  21. checkpoint-500/optimizer.bin +3 -0
  22. checkpoint-500/pytorch_model.bin +3 -0
  23. checkpoint-500/random_states_0.pkl +3 -0
  24. checkpoint-500/scaler.pt +3 -0
  25. checkpoint-500/scheduler.bin +3 -0
  26. logs/dreambooth-lora/1677391887.1331046/events.out.tfevents.1677391887.s-taraxis-lora-dreambooth-training-2-60da2-7598b5bfcb-rms75.95.1 +3 -0
  27. logs/dreambooth-lora/1677391887.134773/hparams.yml +48 -0
  28. logs/dreambooth-lora/events.out.tfevents.1677391887.s-taraxis-lora-dreambooth-training-2-60da2-7598b5bfcb-rms75.95.0 +3 -0
  29. pytorch_lora_weights.bin +3 -0
  30. train.sh +1 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt: nkoctst
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+ tags:
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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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+ inference: true
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+ ---
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+ # LoRA DreamBooth - nekolora1
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+
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+ These are LoRA adaption weights for [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5). The weights were trained on the instance prompt "nkoctst" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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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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+ class_data_dir: null
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+ class_prompt: null
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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: false
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+ hub_model_id: null
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+ hub_token: null
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+ instance_data_dir: /home/user/app/training_data/nekolora1
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+ instance_prompt: nkoctst
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+ learning_rate: 0.0001
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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: fp16
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+ num_class_images: 100
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+ num_train_epochs: 100
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+ num_validation_images: 4
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+ output_dir: /home/user/app/experiments/nekolora1
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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: 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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+ scale_lr: false
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+ seed: 8085
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+ tokenizer_name: null
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+ train_batch_size: 1
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+ use_8bit_adam: true
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+ validation_epochs: 20
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+ validation_prompt: a portrait of nkoctst by craig mullins
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+ with_prior_preservation: false
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train.sh ADDED
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+ accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=runwayml/stable-diffusion-v1-5 --instance_data_dir=/home/user/app/training_data/nekolora1 --output_dir=/home/user/app/experiments/nekolora1 --instance_prompt="nkoctst" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=2000 --checkpointing_steps=500 --validation_prompt="a portrait of nkoctst by craig mullins" --validation_epochs=20 --seed=8085 --mixed_precision fp16 --use_8bit_adam