End of training
Browse files- README.md +1 -1
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-750/optimizer.bin +3 -0
- checkpoint-750/pytorch_lora_weights.safetensors +3 -0
- checkpoint-750/random_states_0.pkl +3 -0
- checkpoint-750/scaler.pt +3 -0
- checkpoint-750/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1692684019.0195541/events.out.tfevents.1692684019.cv-liyanqiao-see6l5-0.1677018.1 +3 -0
- logs/dreambooth-lora-sd-xl/1692684019.0282238/hparams.yml +54 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1692684019.cv-liyanqiao-see6l5-0.1677018.0 +3 -0
- pytorch_lora_weights.safetensors +2 -2
README.md
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@@ -18,6 +18,6 @@ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. Th
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LoRA for the text encoder was enabled:
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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LoRA for the text encoder was enabled: True.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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checkpoint-1500/optimizer.bin
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checkpoint-1500/pytorch_lora_weights.safetensors
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checkpoint-1500/random_states_0.pkl
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checkpoint-1500/scaler.pt
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checkpoint-1500/scheduler.bin
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checkpoint-750/optimizer.bin
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checkpoint-750/pytorch_lora_weights.safetensors
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checkpoint-750/random_states_0.pkl
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checkpoint-750/scaler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-750/scheduler.bin
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logs/dreambooth-lora-sd-xl/1692684019.0195541/events.out.tfevents.1692684019.cv-liyanqiao-see6l5-0.1677018.1
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logs/dreambooth-lora-sd-xl/1692684019.0282238/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: 750
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checkpoints_total_limit: null
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class_data_dir: /workspace/finetune_xl_dreambooth/class_data
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class_prompt: a photo of car
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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: true
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gradient_accumulation_steps: 2
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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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instance_data_dir: "/mnt/pfs-guan-ssai/cv/yanqiao/image_aesthetic_assessment/\u7406\
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\u60F3_L9_"
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instance_prompt: a photo of LicarL9 suv
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learning_rate: 2.0e-06
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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: 0
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max_grad_norm: 1.0
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max_train_steps: 1500
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 11
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num_validation_images: 4
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output_dir: lora-dr-trained-xl-colab-licar2000-withblipbehind-1e-6-1000
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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: 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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push_to_hub: true
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rank: 4
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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: 2
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train_text_encoder: true
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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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with_prior_preservation: true
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1692684019.cv-liyanqiao-see6l5-0.1677018.0
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size 250734
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pytorch_lora_weights.safetensors
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