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  1. README.md +22 -0
  2. checkpoint-1200/custom_checkpoint_0.pkl +3 -0
  3. checkpoint-1200/optimizer.bin +3 -0
  4. checkpoint-1200/pytorch_model.bin +3 -0
  5. checkpoint-1200/random_states_0.pkl +3 -0
  6. checkpoint-1200/scaler.pt +3 -0
  7. checkpoint-1200/scheduler.bin +3 -0
  8. checkpoint-1600/custom_checkpoint_0.pkl +3 -0
  9. checkpoint-1600/optimizer.bin +3 -0
  10. checkpoint-1600/pytorch_model.bin +3 -0
  11. checkpoint-1600/random_states_0.pkl +3 -0
  12. checkpoint-1600/scaler.pt +3 -0
  13. checkpoint-1600/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-2400/custom_checkpoint_0.pkl +3 -0
  21. checkpoint-2400/optimizer.bin +3 -0
  22. checkpoint-2400/pytorch_model.bin +3 -0
  23. checkpoint-2400/random_states_0.pkl +3 -0
  24. checkpoint-2400/scaler.pt +3 -0
  25. checkpoint-2400/scheduler.bin +3 -0
  26. checkpoint-400/custom_checkpoint_0.pkl +3 -0
  27. checkpoint-400/optimizer.bin +3 -0
  28. checkpoint-400/pytorch_model.bin +3 -0
  29. checkpoint-400/random_states_0.pkl +3 -0
  30. checkpoint-400/scaler.pt +3 -0
  31. checkpoint-400/scheduler.bin +3 -0
  32. checkpoint-800/custom_checkpoint_0.pkl +3 -0
  33. checkpoint-800/optimizer.bin +3 -0
  34. checkpoint-800/pytorch_model.bin +3 -0
  35. checkpoint-800/random_states_0.pkl +3 -0
  36. checkpoint-800/scaler.pt +3 -0
  37. checkpoint-800/scheduler.bin +3 -0
  38. logs/dreambooth-lora/1679804777.3887854/events.out.tfevents.1679804777.s-antonellaavad-lora-dreambooth-training-ui-33f5a-7454559c4cmhp.8745.1 +3 -0
  39. logs/dreambooth-lora/1679804777.3909063/hparams.yml +48 -0
  40. logs/dreambooth-lora/events.out.tfevents.1679804777.s-antonellaavad-lora-dreambooth-training-ui-33f5a-7454559c4cmhp.8745.0 +3 -0
  41. pytorch_lora_weights.bin +3 -0
  42. test_images/image_0.png +0 -0
  43. test_images/image_1.png +0 -0
  44. test_images/image_2.png +0 -0
  45. test_images/image_3.png +0 -0
  46. 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: stabilityai/stable-diffusion-2-1-base
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+ instance_prompt: wyt
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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 - wyt1-1
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+
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+ These are LoRA adaption weights for [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base). The weights were trained on the instance prompt "wyt" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+ Test prompt: wyt,1girl,
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+ ![image_0](test_images/image_0.png)
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+ ![image_1](test_images/image_1.png)
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+ ![image_2](test_images/image_2.png)
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+ ![image_3](test_images/image_3.png)
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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: 400
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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/wyt1-1
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+ instance_prompt: wyt
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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: 2400
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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/wyt1-1
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
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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: 0
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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: 100
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+ validation_prompt: wyt,1girl,
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+ with_prior_preservation: false
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+ accelerate launch train_dreambooth_lora.py --pretrained_model_name_or_path=stabilityai/stable-diffusion-2-1-base --instance_data_dir=/home/user/app/training_data/wyt1-1 --output_dir=/home/user/app/experiments/wyt1-1 --instance_prompt="wyt" --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate=0.0001 --lr_scheduler=constant --lr_warmup_steps=0 --max_train_steps=2400 --checkpointing_steps=400 --validation_prompt="wyt,1girl," --validation_epochs=100 --seed=0 --mixed_precision fp16 --use_8bit_adam