End of training
Browse files- README.md +39 -0
- logs/dreambooth-lora-sd-xl/1702336159.4318242/events.out.tfevents.1702336159.f70dce1e0094.13692.1 +3 -0
- logs/dreambooth-lora-sd-xl/1702336159.4337587/hparams.yml +68 -0
- logs/dreambooth-lora-sd-xl/1702336226.5842636/events.out.tfevents.1702336226.f70dce1e0094.14320.1 +3 -0
- logs/dreambooth-lora-sd-xl/1702336226.586075/hparams.yml +68 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1702336159.f70dce1e0094.13692.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1702336226.f70dce1e0094.14320.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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- template:sd-lora
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base_model: stablediffusionapi/juggernaut-xl-v7
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instance_prompt: <lora:yannick> man, beard
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license: openrail++
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---
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# SDXL LoRA DreamBooth - yleo/yannick_LoRA
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<Gallery />
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## Model description
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These are yleo/yannick_LoRA LoRA adaption weights for stablediffusionapi/juggernaut-xl-v7.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: None.
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## Trigger words
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You should use <lora:yannick> man, beard to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](yleo/yannick_LoRA/tree/main) them in the Files & versions tab.
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logs/dreambooth-lora-sd-xl/1702336159.4318242/events.out.tfevents.1702336159.f70dce1e0094.13692.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffb19c563ec7993a92b1be923d4ff043cd3adf1b1ddcbcdae68f410d2ee11e5d
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size 3213
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logs/dreambooth-lora-sd-xl/1702336159.4337587/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: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: null
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caption_column: prompt
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center_crop: false
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checkpointing_steps: 717
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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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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dataset_config_name: null
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dataset_name: photos
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 3
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: null
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instance_prompt: <TOK> dog
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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: 500
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 72
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num_validation_images: 4
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optimizer: AdamW
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output_dir: photos_LoRA
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pretrained_model_name_or_path: stablediffusionapi/juggernaut-xl-v7
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
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prodigy_use_bias_correction: true
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push_to_hub: false
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rank: 4
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repeats: 1
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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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snr_gamma: 5.0
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text_encoder_lr: 5.0e-06
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: true
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validation_epochs: 50
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validation_prompt: null
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/1702336226.5842636/events.out.tfevents.1702336226.f70dce1e0094.14320.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:34e1e0f89c80f7283a7733c07061e5a215aabb5c97b39c9b648f7e201d648c50
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size 3120
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logs/dreambooth-lora-sd-xl/1702336226.586075/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: 0.0001
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adam_weight_decay_text_encoder: 0.001
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allow_tf32: false
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cache_dir: null
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caption_column: prompt
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center_crop: false
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checkpointing_steps: 717
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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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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dataset_config_name: null
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dataset_name: photos
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 3
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: null
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instance_prompt: <lora:yannick> man, beard
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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: 500
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 72
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num_validation_images: 4
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optimizer: AdamW
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output_dir: photos_LoRA
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pretrained_model_name_or_path: stablediffusionapi/juggernaut-xl-v7
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pretrained_vae_model_name_or_path: null
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| 44 |
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prior_generation_precision: null
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| 45 |
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prior_loss_weight: 1.0
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| 46 |
+
prodigy_beta3: null
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| 47 |
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prodigy_decouple: true
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| 48 |
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prodigy_safeguard_warmup: true
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| 49 |
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prodigy_use_bias_correction: true
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| 50 |
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push_to_hub: false
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| 51 |
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rank: 4
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repeats: 1
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| 53 |
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report_to: tensorboard
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| 54 |
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resolution: 1024
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| 55 |
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resume_from_checkpoint: null
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| 56 |
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revision: null
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| 57 |
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sample_batch_size: 4
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| 58 |
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scale_lr: false
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| 59 |
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seed: 0
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snr_gamma: 5.0
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text_encoder_lr: 5.0e-06
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train_batch_size: 1
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| 63 |
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train_text_encoder: false
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| 64 |
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use_8bit_adam: true
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| 65 |
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validation_epochs: 50
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| 66 |
+
validation_prompt: null
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| 67 |
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variant: null
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| 68 |
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1702336159.f70dce1e0094.13692.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9714ca00726d80f1ff322670d5106248710682441eb1436541c2060687bd5d88
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size 1146
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1702336226.f70dce1e0094.14320.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd28c79cbe45287a6c0098db8ac7106f7a9b1b6eedb86cb1377cd5f0e4f770b5
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size 125314
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:93e38ee87b5cd003686c985137ce5cbcfcbf4711fa340c7bfe8f68a85caaa6df
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size 23388184
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