Seooooooogi
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End of training
Browse files- README.md +6 -6
- checkpoint-1000/optimizer.bin +1 -1
- checkpoint-1000/pytorch_lora_weights.safetensors +1 -1
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/pytorch_lora_weights.safetensors +1 -1
- 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/1701324956.792183/events.out.tfevents.1701324956.a59df77f4b4c.2994530.1 +3 -0
- logs/dreambooth-lora-sd-xl/1701324956.7943616/hparams.yml +67 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1701324956.a59df77f4b4c.2994530.0 +3 -0
- pytorch_lora_weights.safetensors +1 -1
README.md
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@@ -9,28 +9,28 @@ tags:
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- template:sd-lora
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widget:
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- text: 'a backpack
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output:
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url:
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"image_0.png"
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- text: 'a backpack
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output:
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url:
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"image_1.png"
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- text: 'a backpack
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output:
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url:
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"image_2.png"
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- text: 'a backpack
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output:
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url:
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"image_3.png"
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: szn
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license: openrail++
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---
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@@ -50,7 +50,7 @@ Special VAE used for training: None.
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## Trigger words
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You should use szn
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## Download model
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- template:sd-lora
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widget:
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- text: 'a backpack, szn colored'
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output:
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url:
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"image_0.png"
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- text: 'a backpack, szn colored'
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output:
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url:
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"image_1.png"
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- text: 'a backpack, szn colored'
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output:
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url:
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"image_2.png"
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- text: 'a backpack, szn colored'
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output:
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url:
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"image_3.png"
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a szn colored bag
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license: openrail++
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---
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## Trigger words
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You should use a szn colored bag to trigger the image generation.
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## Download model
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checkpoint-1000/optimizer.bin
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checkpoint-1000/pytorch_lora_weights.safetensors
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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image_0.png
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image_3.png
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logs/dreambooth-lora-sd-xl/1701324956.792183/events.out.tfevents.1701324956.a59df77f4b4c.2994530.1
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logs/dreambooth-lora-sd-xl/1701324956.7943616/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: null
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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: 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: null
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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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: instances/orange_bag
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instance_prompt: a szn colored bag
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learning_rate: 5.0e-05
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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: 1000
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 1000
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num_validation_images: 4
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optimizer: AdamW
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output_dir: output/lora-sdxl-orange
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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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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: true
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rank: 64
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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: null
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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: a backpack, szn colored
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1701324956.a59df77f4b4c.2994530.0
ADDED
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pytorch_lora_weights.safetensors
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