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lora-trained-xl

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End of training

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Files changed (15) hide show
  1. README.md +2 -2
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.bin +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scheduler.bin +3 -0
  6. checkpoint-500/optimizer.bin +1 -1
  7. checkpoint-500/pytorch_lora_weights.bin +1 -1
  8. image_0.png +2 -2
  9. image_1.png +2 -2
  10. image_2.png +2 -2
  11. image_3.png +2 -2
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  13. logs/dreambooth-lora-sd-xl/1692473560.3232827/hparams.yml +52 -0
  14. logs/dreambooth-lora-sd-xl/events.out.tfevents.1692473560.jupyter-n-2eochiai.916684.0 +3 -0
  15. pytorch_lora_weights.bin +1 -1
README.md CHANGED
@@ -2,7 +2,7 @@
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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: a photo of sks fundus
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  tags:
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  - stable-diffusion-xl
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  - stable-diffusion-xl-diffusers
@@ -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 a photo of 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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  ---
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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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+ 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: a photo of fundus
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+ crops_coords_top_left_h: 0
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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: false
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+ hub_model_id: 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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+ push_to_hub: true
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+ report_to: tensorboard
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+ resolution: 1024
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+ sample_batch_size: 4
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+ scale_lr: false
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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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