RadonDong commited on
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1 Parent(s): 4ba6be4

End of training

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.gitattributes CHANGED
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.gitignore ADDED
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+ step_*
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+ epoch_*
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: stabilityai/stable-diffusion-2-1-base
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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 - RadonDong/LUSC_white_formalin
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+
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+ These are LoRA adaption weights for RadonDong/LUSC_white_formalin. The weights were trained on LUSC white formalin 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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+ 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: 1000
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+ class_data_dir: null
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+ class_prompt: null
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+ dataloader_num_workers: 4
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ hub_model_id: null
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+ hub_token: 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
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+ instance_data_dir: LUSC_white_formalin_origin/*.jpg
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+ instance_prompt: LUSC white formalin
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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: 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: LUSC_white_formalin
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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: true
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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: false
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+ validation_epochs: 1000
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+ validation_prompt: a photo of LUSC white formalin
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+ with_prior_preservation: false
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