End of training
Browse files- README.md +21 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-lora/1707312884.373991/events.out.tfevents.1707312884.ai1.30145.1 +3 -0
- logs/dreambooth-lora/1707312884.3840039/hparams.yml +56 -0
- logs/dreambooth-lora/1707312945.5216405/events.out.tfevents.1707312945.ai1.33492.1 +3 -0
- logs/dreambooth-lora/1707312945.5815957/hparams.yml +56 -0
- logs/dreambooth-lora/1707313007.179358/events.out.tfevents.1707313007.ai1.36820.1 +3 -0
- logs/dreambooth-lora/1707313007.189684/hparams.yml +56 -0
- logs/dreambooth-lora/1707313051.540964/events.out.tfevents.1707313051.ai1.39258.1 +3 -0
- logs/dreambooth-lora/1707313051.5599935/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1707312884.ai1.30145.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1707312945.ai1.33492.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1707313007.ai1.36820.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1707313051.ai1.39258.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: a photo of sks dog
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA DreamBooth - danaleee/CL_rank10_iter500_noval
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scheduler.bin
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logs/dreambooth-lora/1707312884.373991/events.out.tfevents.1707312884.ai1.30145.1
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth-lora/1707312884.3840039/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: null
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class_labels_conditioning: null
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class_prompt: null
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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: 1
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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: /d1/daeun/diffusers/cyw_data/dog/
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instance_prompt: a photo of sks dog
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learning_rate: 0.0005
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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: 500
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max_grad_norm: 1.0
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max_train_steps: 1
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 1
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num_validation_images: 4
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output_dir: /d1/daeun/diffusers/examples/dreambooth/exp/CL_rank10_iter500_noval/
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pre_compute_text_embeddings: false
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+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: false
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rank: 4
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report_to: tensorboard
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resolution: 512
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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: null
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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: null
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train_batch_size: 4
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train_text_encoder: false
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use_8bit_adam: false
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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/1707312945.5815957/hparams.yml
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adam_beta1: 0.9
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2 |
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adam_beta2: 0.999
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3 |
+
adam_epsilon: 1.0e-08
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4 |
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adam_weight_decay: 0.01
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5 |
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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: null
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class_labels_conditioning: null
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dataloader_num_workers: 0
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gradient_accumulation_steps: 1
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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: /d1/daeun/diffusers/cyw_data/dog/
|
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instance_prompt: a photo of sks dog
|
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learning_rate: 0.0005
|
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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: 500
|
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max_grad_norm: 1.0
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max_train_steps: 1
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mixed_precision: null
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num_class_images: 100
|
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num_train_epochs: 1
|
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num_validation_images: 4
|
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output_dir: /d1/daeun/diffusers/examples/dreambooth/exp/CL_rank10_iter500_noval/
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pre_compute_text_embeddings: false
|
35 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
36 |
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prior_generation_precision: null
|
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prior_loss_weight: 1.0
|
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push_to_hub: false
|
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rank: 4
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: null
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tokenizer_name: null
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train_batch_size: 4
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train_text_encoder: false
|
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use_8bit_adam: false
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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
|
logs/dreambooth-lora/1707313007.179358/events.out.tfevents.1707313007.ai1.36820.1
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logs/dreambooth-lora/1707313007.189684/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_labels_conditioning: null
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class_prompt: null
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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: 1
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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: /d1/daeun/diffusers/cyw_data/dog/
|
19 |
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instance_prompt: a photo of sks dog
|
20 |
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learning_rate: 0.0001
|
21 |
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local_rank: 0
|
22 |
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logging_dir: logs
|
23 |
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lr_num_cycles: 1
|
24 |
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lr_power: 1.0
|
25 |
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lr_scheduler: constant
|
26 |
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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
|
29 |
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mixed_precision: null
|
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num_class_images: 100
|
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num_train_epochs: 250
|
32 |
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num_validation_images: 4
|
33 |
+
output_dir: /d1/daeun/diffusers/examples/dreambooth/exp/CL_rank10_iter500_noval/
|
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+
pre_compute_text_embeddings: false
|
35 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
36 |
+
prior_generation_precision: null
|
37 |
+
prior_loss_weight: 1.0
|
38 |
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push_to_hub: true
|
39 |
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rank: 10
|
40 |
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report_to: tensorboard
|
41 |
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resolution: 512
|
42 |
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resume_from_checkpoint: latest
|
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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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text_encoder_use_attention_mask: false
|
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tokenizer_max_length: null
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tokenizer_name: null
|
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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: 50
|
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validation_prompt: null
|
55 |
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variant: null
|
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with_prior_preservation: false
|
logs/dreambooth-lora/1707313051.540964/events.out.tfevents.1707313051.ai1.39258.1
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logs/dreambooth-lora/1707313051.5599935/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
|
4 |
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adam_weight_decay: 0.01
|
5 |
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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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class_data_dir: null
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dataloader_num_workers: 0
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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: /d1/daeun/diffusers/cyw_data/dog/
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instance_prompt: a photo of sks dog
|
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learning_rate: 0.0001
|
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|
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lr_num_cycles: 1
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lr_scheduler: constant
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lr_warmup_steps: 0
|
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max_train_steps: 500
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mixed_precision: null
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num_class_images: 100
|
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num_train_epochs: 250
|
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num_validation_images: 4
|
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output_dir: /d1/daeun/diffusers/examples/dreambooth/exp/CL_rank10_iter500_noval/
|
34 |
+
pre_compute_text_embeddings: false
|
35 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
36 |
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prior_generation_precision: null
|
37 |
+
prior_loss_weight: 1.0
|
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