End of training
Browse files- README.md +2 -2
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +1 -1
- logs/dreambooth/1692502291.9164777/events.out.tfevents.1692502291.9c82a827b453.13885.1 +3 -0
- logs/dreambooth/1692502291.918578/hparams.yml +57 -0
- logs/dreambooth/1692503350.718283/events.out.tfevents.1692503350.9c82a827b453.24356.1 +3 -0
- logs/dreambooth/1692503350.7202861/hparams.yml +57 -0
- logs/dreambooth/events.out.tfevents.1692502291.9c82a827b453.13885.0 +3 -0
- logs/dreambooth/events.out.tfevents.1692503350.9c82a827b453.24356.0 +3 -0
- unet/diffusion_pytorch_model.safetensors +1 -1
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:
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - YuqiChen/model
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on
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You can find some example images in the following.
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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: quanguomeizhan oil painting art
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - YuqiChen/model
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on quanguomeizhan oil painting art using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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checkpoint-500/optimizer.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/unet/diffusion_pytorch_model.safetensors
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logs/dreambooth/1692502291.9164777/events.out.tfevents.1692502291.9c82a827b453.13885.1
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logs/dreambooth/1692502291.918578/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_data
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+
class_labels_conditioning: null
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+
class_prompt: Chinese oil painting art
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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: 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: awardPuzzle
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+
instance_prompt: quanguomeizhan oil painting art
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learning_rate: 5.0e-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: 8
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+
num_validation_images: 4
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+
offset_noise: false
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+
output_dir: model
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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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+
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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+
set_grads_to_none: false
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+
skip_save_text_encoder: false
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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_prompt: null
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+
validation_steps: 100
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with_prior_preservation: true
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logs/dreambooth/1692503350.718283/events.out.tfevents.1692503350.9c82a827b453.24356.1
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version https://git-lfs.github.com/spec/v1
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size 2794
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logs/dreambooth/1692503350.7202861/hparams.yml
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+
adam_beta1: 0.9
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| 2 |
+
adam_beta2: 0.999
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| 3 |
+
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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| 7 |
+
checkpointing_steps: 500
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| 8 |
+
checkpoints_total_limit: null
|
| 9 |
+
class_data_dir: class_data
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| 10 |
+
class_labels_conditioning: null
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| 11 |
+
class_prompt: Chinese oil painting art
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| 12 |
+
dataloader_num_workers: 0
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| 13 |
+
enable_xformers_memory_efficient_attention: false
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| 14 |
+
gradient_accumulation_steps: 2
|
| 15 |
+
gradient_checkpointing: true
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| 16 |
+
hub_model_id: null
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| 17 |
+
hub_token: null
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| 18 |
+
instance_data_dir: awardPuzzle1
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| 19 |
+
instance_prompt: quanguomeizhan oil painting art
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| 20 |
+
learning_rate: 5.0e-06
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| 21 |
+
local_rank: -1
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+
logging_dir: logs
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+
lr_num_cycles: 1
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| 24 |
+
lr_power: 1.0
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| 25 |
+
lr_scheduler: constant
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| 26 |
+
lr_warmup_steps: 0
|
| 27 |
+
max_grad_norm: 1.0
|
| 28 |
+
max_train_steps: 800
|
| 29 |
+
mixed_precision: null
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| 30 |
+
num_class_images: 200
|
| 31 |
+
num_train_epochs: 1
|
| 32 |
+
num_validation_images: 4
|
| 33 |
+
offset_noise: false
|
| 34 |
+
output_dir: model
|
| 35 |
+
pre_compute_text_embeddings: false
|
| 36 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 37 |
+
prior_generation_precision: null
|
| 38 |
+
prior_loss_weight: 1.0
|
| 39 |
+
push_to_hub: true
|
| 40 |
+
report_to: tensorboard
|
| 41 |
+
resolution: 512
|
| 42 |
+
resume_from_checkpoint: null
|
| 43 |
+
revision: null
|
| 44 |
+
sample_batch_size: 4
|
| 45 |
+
scale_lr: false
|
| 46 |
+
seed: null
|
| 47 |
+
set_grads_to_none: false
|
| 48 |
+
skip_save_text_encoder: false
|
| 49 |
+
text_encoder_use_attention_mask: false
|
| 50 |
+
tokenizer_max_length: null
|
| 51 |
+
tokenizer_name: null
|
| 52 |
+
train_batch_size: 1
|
| 53 |
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train_text_encoder: false
|
| 54 |
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use_8bit_adam: true
|
| 55 |
+
validation_prompt: null
|
| 56 |
+
validation_steps: 100
|
| 57 |
+
with_prior_preservation: true
|
logs/dreambooth/events.out.tfevents.1692502291.9c82a827b453.13885.0
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unet/diffusion_pytorch_model.safetensors
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