End of training
Browse files- README.md +2 -2
- checkpoint-1000/optimizer.bin +1 -1
- checkpoint-1000/pytorch_lora_weights.bin +1 -1
- checkpoint-1000/random_states_0.pkl +1 -1
- checkpoint-500/optimizer.bin +2 -2
- checkpoint-500/pytorch_lora_weights.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- checkpoint-500/scheduler.bin +2 -2
- image_0.png +2 -2
- image_1.png +2 -2
- image_2.png +2 -2
- image_3.png +2 -2
- logs/dreambooth-lora-sd-xl/1692492226.5477328/events.out.tfevents.1692492226.jupyter-n-2eochiai.963757.1 +3 -0
- logs/dreambooth-lora-sd-xl/1692492226.5970724/hparams.yml +52 -0
- logs/dreambooth-lora-sd-xl/1692493813.9537077/events.out.tfevents.1692493813.jupyter-n-2eochiai.972883.1 +3 -0
- logs/dreambooth-lora-sd-xl/1692493814.0154061/hparams.yml +52 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1692492226.jupyter-n-2eochiai.963757.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1692493813.jupyter-n-2eochiai.972883.0 +3 -0
- pytorch_lora_weights.bin +1 -1
README.md
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---
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license: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt:
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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@@ -14,7 +14,7 @@ inference: true
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# LoRA DreamBooth - nob/lora-trained-xl
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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---
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license: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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+
instance_prompt: sks fundus
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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# LoRA DreamBooth - nob/lora-trained-xl
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on sks fundus 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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checkpoint-1000/optimizer.bin
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logs/dreambooth-lora-sd-xl/1692492226.5477328/events.out.tfevents.1692492226.jupyter-n-2eochiai.963757.1
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logs/dreambooth-lora-sd-xl/1692492226.5970724/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: 500
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checkpoints_total_limit: null
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class_data_dir: data/RD_img_left_resize
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class_prompt: fundus
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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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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: 4
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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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instance_data_dir: data/RD_img_left_resize
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instance_prompt: sks fundus
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learning_rate: 0.0001
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local_rank: 0
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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: 10
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max_grad_norm: 1.0
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+
max_train_steps: 1000
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mixed_precision: bf16
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+
num_class_images: 100
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num_train_epochs: 17
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num_validation_images: 4
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output_dir: lora-trained-xl
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: null
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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: 1024
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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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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: 25
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validation_prompt: sks fundus
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/1692493813.9537077/events.out.tfevents.1692493813.jupyter-n-2eochiai.972883.1
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logs/dreambooth-lora-sd-xl/1692493814.0154061/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: 500
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checkpoints_total_limit: null
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class_data_dir: data/DR_img_left_resize
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class_prompt: fundus
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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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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: 4
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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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instance_data_dir: data/DR_img_left_resize
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instance_prompt: sks fundus
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learning_rate: 0.0001
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local_rank: 0
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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: 10
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max_grad_norm: 1.0
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max_train_steps: 1000
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mixed_precision: bf16
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num_class_images: 100
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num_train_epochs: 5
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num_validation_images: 4
|
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output_dir: lora-trained-xl
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: null
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prior_generation_precision: null
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prior_loss_weight: 1.0
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report_to: tensorboard
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resolution: 1024
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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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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: 25
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validation_prompt: sks fundus
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