End of training
Browse files- README.md +21 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-lora/1690657924.9920042/events.out.tfevents.1690657924.r11404.12216.1 +3 -0
- logs/dreambooth-lora/1690657925.007737/hparams.yml +55 -0
- logs/dreambooth-lora/events.out.tfevents.1690657924.r11404.12216.0 +3 -0
- logs/dreambooth/1690656642.074279/events.out.tfevents.1690656642.r11404.13280.1 +3 -0
- logs/dreambooth/1690656642.0905366/hparams.yml +57 -0
- logs/dreambooth/events.out.tfevents.1690656642.r11404.13280.0 +3 -0
- pytorch_lora_weights.bin +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 - aimeetsai/output
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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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version https://git-lfs.github.com/spec/v1
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size 4001221
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checkpoint-500/pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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size 3289051
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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size 14663
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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size 563
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logs/dreambooth-lora/1690657924.9920042/events.out.tfevents.1690657924.r11404.12216.1
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version https://git-lfs.github.com/spec/v1
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size 2631
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logs/dreambooth-lora/1690657925.007737/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: $CLASS_DIR
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class_labels_conditioning: null
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class_prompt: a photo of dog
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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: 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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instance_data_dir: dog
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instance_prompt: a photo of sks dog
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learning_rate: 2.0e-06
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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: 800
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mixed_precision: null
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num_class_images: 200
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num_train_epochs: 4
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num_validation_images: 4
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output_dir: ./output
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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: true
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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: 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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with_prior_preservation: true
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logs/dreambooth-lora/events.out.tfevents.1690657924.r11404.12216.0
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version https://git-lfs.github.com/spec/v1
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size 67034
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logs/dreambooth/1690656642.074279/events.out.tfevents.1690656642.r11404.13280.1
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth/1690656642.0905366/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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| 4 |
+
adam_weight_decay: 0.01
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| 5 |
+
allow_tf32: false
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| 6 |
+
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: $CLASS_DIR
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+
class_labels_conditioning: null
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+
class_prompt: a photo of dog
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| 12 |
+
dataloader_num_workers: 0
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+
enable_xformers_memory_efficient_attention: true
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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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| 18 |
+
instance_data_dir: dog
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| 19 |
+
instance_prompt: a photo of sks dog
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| 20 |
+
learning_rate: 2.0e-06
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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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| 27 |
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max_grad_norm: 1.0
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| 28 |
+
max_train_steps: 800
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| 29 |
+
mixed_precision: null
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| 30 |
+
num_class_images: 200
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| 31 |
+
num_train_epochs: 4
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| 32 |
+
num_validation_images: 4
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| 33 |
+
offset_noise: false
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| 34 |
+
output_dir: ./output
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| 35 |
+
pre_compute_text_embeddings: false
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| 36 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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| 37 |
+
prior_generation_precision: null
|
| 38 |
+
prior_loss_weight: 1.0
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| 39 |
+
push_to_hub: true
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| 40 |
+
report_to: tensorboard
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| 41 |
+
resolution: 512
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| 42 |
+
resume_from_checkpoint: null
|
| 43 |
+
revision: null
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| 44 |
+
sample_batch_size: 4
|
| 45 |
+
scale_lr: false
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| 46 |
+
seed: null
|
| 47 |
+
set_grads_to_none: true
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| 48 |
+
skip_save_text_encoder: false
|
| 49 |
+
text_encoder_use_attention_mask: false
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| 50 |
+
tokenizer_max_length: null
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| 51 |
+
tokenizer_name: null
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| 52 |
+
train_batch_size: 1
|
| 53 |
+
train_text_encoder: false
|
| 54 |
+
use_8bit_adam: true
|
| 55 |
+
validation_prompt: null
|
| 56 |
+
validation_steps: 100
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| 57 |
+
with_prior_preservation: true
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logs/dreambooth/events.out.tfevents.1690656642.r11404.13280.0
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version https://git-lfs.github.com/spec/v1
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size 88
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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size 3289051
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