End of training
Browse files- .gitattributes +4 -0
- .gitignore +2 -0
- README.md +22 -0
- checkpoint-1000/custom_checkpoint_0.pkl +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-2000/custom_checkpoint_0.pkl +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_model.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora/1697524546.7637818/events.out.tfevents.1697524546.c3d44afc6576.1238889.1 +3 -0
- logs/dreambooth-lora/1697524546.7650003/hparams.yml +48 -0
- logs/dreambooth-lora/events.out.tfevents.1697524546.c3d44afc6576.1238889.0 +3 -0
- pytorch_lora_weights.bin +3 -0
- test_images/image_0.png +3 -0
- test_images/image_1.png +3 -0
- test_images/image_2.png +3 -0
- test_images/image_3.png +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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.gitignore
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step_*
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epoch_*
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README.md
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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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# LoRA DreamBooth - RadonDong/LUAD_black_formalin
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These are LoRA adaption weights for RadonDong/LUAD_black_formalin. The weights were trained on LUAD black formalin using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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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checkpoint-1000/custom_checkpoint_0.pkl
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checkpoint-1000/optimizer.bin
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checkpoint-1000/pytorch_model.bin
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scheduler.bin
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checkpoint-2000/custom_checkpoint_0.pkl
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checkpoint-2000/optimizer.bin
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checkpoint-2000/pytorch_model.bin
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checkpoint-2000/random_states_0.pkl
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checkpoint-2000/scheduler.bin
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image_0.png
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Git LFS Details
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image_1.png
ADDED
Git LFS Details
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image_2.png
ADDED
Git LFS Details
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image_3.png
ADDED
Git LFS Details
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logs/dreambooth-lora/1697524546.7637818/events.out.tfevents.1697524546.c3d44afc6576.1238889.1
ADDED
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logs/dreambooth-lora/1697524546.7650003/hparams.yml
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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: LUAD_black_formalin_origin/*.jpg
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instance_prompt: LUAD black 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: LUAD_black_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 LUAD black formalin
|
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+
with_prior_preservation: false
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logs/dreambooth-lora/events.out.tfevents.1697524546.c3d44afc6576.1238889.0
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pytorch_lora_weights.bin
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test_images/image_0.png
ADDED
Git LFS Details
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test_images/image_1.png
ADDED
Git LFS Details
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test_images/image_2.png
ADDED
Git LFS Details
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test_images/image_3.png
ADDED
Git LFS Details
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