End of training

.gitattributes

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.gitignore

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+step_*
+epoch_*

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1-base
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - RadonDong/LUAD_white_formalin
+
+These are LoRA adaption weights for RadonDong/LUAD_white_formalin. The weights were trained on LUAD white formalin using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+

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logs/dreambooth-lora/1697522533.305043/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 1000
+class_data_dir: null
+class_prompt: null
+dataloader_num_workers: 4
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: 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
+instance_data_dir: LUAD_white_formalin_origin/*.jpg
+instance_prompt: LUAD white formalin
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 2000
+mixed_precision: null
+num_class_images: 100
+num_train_epochs: 80
+num_validation_images: 4
+output_dir: LUAD_white_formalin
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: 0
+tokenizer_name: null
+train_batch_size: 1
+use_8bit_adam: false
+validation_epochs: 1000
+validation_prompt: a photo of LUAD white formalin
+with_prior_preservation: false

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