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End of training

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  1. README.md +25 -0
  2. checkpoint-100/optimizer.bin +3 -0
  3. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-100/random_states_0.pkl +3 -0
  5. checkpoint-100/scheduler.bin +3 -0
  6. checkpoint-200/optimizer.bin +3 -0
  7. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
  8. checkpoint-200/random_states_0.pkl +3 -0
  9. checkpoint-200/scheduler.bin +3 -0
  10. checkpoint-300/optimizer.bin +3 -0
  11. checkpoint-300/pytorch_lora_weights.safetensors +3 -0
  12. checkpoint-300/random_states_0.pkl +3 -0
  13. checkpoint-300/scheduler.bin +3 -0
  14. checkpoint-400/optimizer.bin +3 -0
  15. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
  16. checkpoint-400/random_states_0.pkl +3 -0
  17. checkpoint-400/scheduler.bin +3 -0
  18. checkpoint-500/optimizer.bin +3 -0
  19. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  20. checkpoint-500/random_states_0.pkl +3 -0
  21. checkpoint-500/scheduler.bin +3 -0
  22. checkpoint-600/optimizer.bin +3 -0
  23. checkpoint-600/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-600/random_states_0.pkl +3 -0
  25. checkpoint-600/scheduler.bin +3 -0
  26. checkpoint-700/optimizer.bin +3 -0
  27. checkpoint-700/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-700/random_states_0.pkl +3 -0
  29. checkpoint-700/scheduler.bin +3 -0
  30. checkpoint-800/optimizer.bin +3 -0
  31. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-800/random_states_0.pkl +3 -0
  33. checkpoint-800/scheduler.bin +3 -0
  34. image_0.png +0 -0
  35. image_1.png +0 -0
  36. image_2.png +0 -0
  37. image_3.png +0 -0
  38. logs/dreambooth-lora/1695614913.1271548/events.out.tfevents.1695614913.connectbrick-ff.18645.1 +3 -0
  39. logs/dreambooth-lora/1695614913.128003/hparams.yml +55 -0
  40. logs/dreambooth-lora/1695615447.2208629/events.out.tfevents.1695615447.connectbrick-ff.20436.1 +3 -0
  41. logs/dreambooth-lora/1695615447.2216384/hparams.yml +55 -0
  42. logs/dreambooth-lora/events.out.tfevents.1695614913.connectbrick-ff.18645.0 +3 -0
  43. logs/dreambooth-lora/events.out.tfevents.1695615447.connectbrick-ff.20436.0 +3 -0
  44. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+
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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: a photo of wood and tile floor, rough wall
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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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+
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+ # LoRA DreamBooth - Johnkimmyshinmmy/g
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of wood and tile floor, rough wall using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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+
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+ LoRA for the text encoder was enabled: False.
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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: 100
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+ checkpoints_total_limit: null
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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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+ instance_data_dir: Image/ff_Interior
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+ instance_prompt: a photo of wood and tile floor, rough wall
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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: 800
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+ mixed_precision: null
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+ num_class_images: 100
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+ num_train_epochs: 20
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+ num_validation_images: 4
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+ output_dir: lora_inpaint_interior/train_lora/g
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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_loss_weight: 1.0
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+ validation_prompt: a photo of wood and tile floor, rough wall, tv on the wall
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+ with_prior_preservation: false
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+ instance_data_dir: Image/ff_Interior
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+ instance_prompt: a photo of wood and tile floor, rough wall
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ output_dir: lora_inpaint_interior/train_lora/g
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