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Diffusers
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lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
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End of training

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  1. logs/dreambooth-lora/1746367101.071741/events.out.tfevents.1746367101.2f064f7f2e58 +3 -0
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  11. output_diffuex/checkpoint-10000/random_states_0.pkl +3 -0
  12. output_diffuex/checkpoint-10000/scheduler.bin +3 -0
  13. output_diffuex/checkpoint-1500/optimizer.bin +3 -0
  14. output_diffuex/checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  15. output_diffuex/checkpoint-1500/random_states_0.pkl +3 -0
  16. output_diffuex/checkpoint-1500/scheduler.bin +3 -0
  17. output_diffuex/checkpoint-2000/optimizer.bin +3 -0
  18. output_diffuex/checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
  19. output_diffuex/checkpoint-2000/random_states_0.pkl +3 -0
  20. output_diffuex/checkpoint-2000/scheduler.bin +3 -0
  21. output_diffuex/checkpoint-2500/optimizer.bin +3 -0
  22. output_diffuex/checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
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  24. output_diffuex/checkpoint-2500/scheduler.bin +3 -0
  25. output_diffuex/checkpoint-3000/optimizer.bin +3 -0
  26. output_diffuex/checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
  27. output_diffuex/checkpoint-3000/random_states_0.pkl +3 -0
  28. output_diffuex/checkpoint-3000/scheduler.bin +3 -0
  29. output_diffuex/checkpoint-3500/optimizer.bin +3 -0
  30. output_diffuex/checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
  31. output_diffuex/checkpoint-3500/random_states_0.pkl +3 -0
  32. output_diffuex/checkpoint-3500/scheduler.bin +3 -0
  33. output_diffuex/checkpoint-4000/optimizer.bin +3 -0
  34. output_diffuex/checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
  35. output_diffuex/checkpoint-4000/random_states_0.pkl +3 -0
  36. output_diffuex/checkpoint-4000/scheduler.bin +3 -0
  37. output_diffuex/checkpoint-4500/optimizer.bin +3 -0
  38. output_diffuex/checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  39. output_diffuex/checkpoint-4500/random_states_0.pkl +3 -0
  40. output_diffuex/checkpoint-4500/scheduler.bin +3 -0
  41. output_diffuex/checkpoint-500/optimizer.bin +3 -0
  42. output_diffuex/checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  43. output_diffuex/checkpoint-500/random_states_0.pkl +3 -0
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  49. output_diffuex/checkpoint-5500/optimizer.bin +3 -0
  50. output_diffuex/checkpoint-5500/pytorch_lora_weights.safetensors +3 -0
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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_prompt: null
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+ dataloader_num_workers: 0
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+ diffuex: false
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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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+ image_classifier_path: /code/diffuex/diffusers/examples/dreambooth/models/epoch:76-train_loss:0.14859-val_loss:0.31609-train_acc:0.94366-val_ap:0.49077-accuracy:0.87973-F1:0.65990.pth
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+ image_model: resnet
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+ instance_data_dir: dog/images/
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 1.0e-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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+ mixed_precision: null
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+ num_class_images: 100
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+ num_train_epochs: 80
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+ num_validation_images: 4
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+ output_dir: /code/diffuex/diffusers/examples/dreambooth/output
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-2
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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: 64
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+ train_batch_size: 1
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+ train_text_encoder: false
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+ use_8bit_adam: false
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+ validation_epochs: 50
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+ validation_images_diffuex: /code/diffuex/dataset/diffuex_dataset/test
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+ validation_prompt: null
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+ variant: fp16
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+ with_prior_preservation: false
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+ ---
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+ base_model: stabilityai/stable-diffusion-2
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ inference: true
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+ instance_prompt: a photo of MRI Prostate cancer Images
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+ tags:
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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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+ - 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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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # LoRA DreamBooth - aaronhandoko01/output_diffuex
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were trained on a photo of MRI Prostate cancer Images using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+
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+
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+ LoRA for the text encoder was enabled: False.
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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