End of training
Browse files- README.md +43 -0
- feature_extractor/preprocessor_config.json +27 -0
- logs/dreambooth/1725521632.4979804/events.out.tfevents.1725521632.jupyter-admin1.282.1 +3 -0
- logs/dreambooth/1725521632.4996173/hparams.yml +60 -0
- logs/dreambooth/1725521847.6396008/events.out.tfevents.1725521847.jupyter-admin1.391.1 +3 -0
- logs/dreambooth/1725521847.6412683/hparams.yml +60 -0
- logs/dreambooth/1725521970.0985658/events.out.tfevents.1725521970.jupyter-admin1.441.1 +3 -0
- logs/dreambooth/1725521970.1001885/hparams.yml +60 -0
- logs/dreambooth/1725523477.8085332/events.out.tfevents.1725523477.jupyter-admin1.749.1 +3 -0
- logs/dreambooth/1725523477.8100991/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1725521632.jupyter-admin1.282.0 +3 -0
- logs/dreambooth/events.out.tfevents.1725521847.jupyter-admin1.391.0 +3 -0
- logs/dreambooth/events.out.tfevents.1725521970.jupyter-admin1.441.0 +3 -0
- logs/dreambooth/events.out.tfevents.1725523477.jupyter-admin1.749.0 +3 -0
- model_index.json +38 -0
- scheduler/scheduler_config.json +20 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +38 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +73 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-2-1
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library_name: diffusers
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license: creativeml-openrail-m
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tags:
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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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inference: true
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instance_prompt: a photo of [v]dog
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# DreamBooth - anindyas/dogbooth
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This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of [v]dog using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: False.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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feature_extractor/preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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logs/dreambooth/1725521632.4979804/events.out.tfevents.1725521632.jupyter-admin1.282.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:617d3a0a99886e292258603d796fd12cb4ead740b746a92695aa208d6e6dab86
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size 2696
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logs/dreambooth/1725521632.4996173/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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5 |
+
allow_tf32: false
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6 |
+
center_crop: false
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+
checkpointing_steps: 500
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8 |
+
checkpoints_total_limit: null
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9 |
+
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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13 |
+
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 [v]dog
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learning_rate: 1.0e-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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30 |
+
num_class_images: 100
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31 |
+
num_train_epochs: 134
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+
num_validation_images: 4
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offset_noise: false
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output_dir: dogbooth
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pre_compute_text_embeddings: false
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36 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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37 |
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prior_generation_precision: null
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38 |
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prior_loss_weight: 1.0
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39 |
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push_to_hub: true
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report_to: tensorboard
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resolution: 768
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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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48 |
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skip_save_text_encoder: false
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49 |
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snr_gamma: null
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50 |
+
text_encoder_use_attention_mask: false
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51 |
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tokenizer_max_length: null
|
52 |
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tokenizer_name: null
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53 |
+
train_batch_size: 1
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54 |
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train_text_encoder: false
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55 |
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use_8bit_adam: true
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56 |
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validation_prompt: null
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57 |
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validation_scheduler: DPMSolverMultistepScheduler
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58 |
+
validation_steps: 100
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variant: null
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60 |
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with_prior_preservation: false
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logs/dreambooth/1725521847.6396008/events.out.tfevents.1725521847.jupyter-admin1.391.1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:5059b09def671580b8b1658de7fa6dfe57ddb3821cd5aea0e3238fdcd8f6ea73
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size 2696
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logs/dreambooth/1725521847.6412683/hparams.yml
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1 |
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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
|
6 |
+
center_crop: false
|
7 |
+
checkpointing_steps: 500
|
8 |
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checkpoints_total_limit: null
|
9 |
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class_data_dir: null
|
10 |
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class_labels_conditioning: null
|
11 |
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class_prompt: null
|
12 |
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dataloader_num_workers: 0
|
13 |
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enable_xformers_memory_efficient_attention: true
|
14 |
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gradient_accumulation_steps: 1
|
15 |
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gradient_checkpointing: true
|
16 |
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hub_model_id: null
|
17 |
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hub_token: null
|
18 |
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instance_data_dir: dog
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19 |
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instance_prompt: a photo of [v]dog
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20 |
+
learning_rate: 1.0e-06
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21 |
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local_rank: -1
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22 |
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logging_dir: logs
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23 |
+
lr_num_cycles: 1
|
24 |
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lr_power: 1.0
|
25 |
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lr_scheduler: constant
|
26 |
+
lr_warmup_steps: 0
|
27 |
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max_grad_norm: 1.0
|
28 |
+
max_train_steps: 800
|
29 |
+
mixed_precision: null
|
30 |
+
num_class_images: 100
|
31 |
+
num_train_epochs: 134
|
32 |
+
num_validation_images: 4
|
33 |
+
offset_noise: false
|
34 |
+
output_dir: dogbooth
|
35 |
+
pre_compute_text_embeddings: false
|
36 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
|
37 |
+
prior_generation_precision: null
|
38 |
+
prior_loss_weight: 1.0
|
39 |
+
push_to_hub: true
|
40 |
+
report_to: tensorboard
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41 |
+
resolution: 768
|
42 |
+
resume_from_checkpoint: null
|
43 |
+
revision: null
|
44 |
+
sample_batch_size: 4
|
45 |
+
scale_lr: false
|
46 |
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seed: null
|
47 |
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set_grads_to_none: false
|
48 |
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skip_save_text_encoder: false
|
49 |
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snr_gamma: null
|
50 |
+
text_encoder_use_attention_mask: false
|
51 |
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tokenizer_max_length: null
|
52 |
+
tokenizer_name: null
|
53 |
+
train_batch_size: 1
|
54 |
+
train_text_encoder: false
|
55 |
+
use_8bit_adam: true
|
56 |
+
validation_prompt: null
|
57 |
+
validation_scheduler: DPMSolverMultistepScheduler
|
58 |
+
validation_steps: 100
|
59 |
+
variant: null
|
60 |
+
with_prior_preservation: false
|
logs/dreambooth/1725521970.0985658/events.out.tfevents.1725521970.jupyter-admin1.441.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0bcdec82312747eecece882af4406ba70d407f1fa40fedfa16b6598ae1d69d48
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size 2696
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logs/dreambooth/1725521970.1001885/hparams.yml
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1 |
+
adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.01
|
5 |
+
allow_tf32: false
|
6 |
+
center_crop: false
|
7 |
+
checkpointing_steps: 500
|
8 |
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checkpoints_total_limit: null
|
9 |
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class_data_dir: null
|
10 |
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class_labels_conditioning: null
|
11 |
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class_prompt: null
|
12 |
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dataloader_num_workers: 0
|
13 |
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enable_xformers_memory_efficient_attention: true
|
14 |
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gradient_accumulation_steps: 1
|
15 |
+
gradient_checkpointing: true
|
16 |
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hub_model_id: null
|
17 |
+
hub_token: null
|
18 |
+
instance_data_dir: dog
|
19 |
+
instance_prompt: a photo of [v]dog
|
20 |
+
learning_rate: 1.0e-06
|
21 |
+
local_rank: -1
|
22 |
+
logging_dir: logs
|
23 |
+
lr_num_cycles: 1
|
24 |
+
lr_power: 1.0
|
25 |
+
lr_scheduler: constant
|
26 |
+
lr_warmup_steps: 0
|
27 |
+
max_grad_norm: 1.0
|
28 |
+
max_train_steps: 800
|
29 |
+
mixed_precision: null
|
30 |
+
num_class_images: 100
|
31 |
+
num_train_epochs: 160
|
32 |
+
num_validation_images: 4
|
33 |
+
offset_noise: false
|
34 |
+
output_dir: dogbooth
|
35 |
+
pre_compute_text_embeddings: false
|
36 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
|
37 |
+
prior_generation_precision: null
|
38 |
+
prior_loss_weight: 1.0
|
39 |
+
push_to_hub: true
|
40 |
+
report_to: tensorboard
|
41 |
+
resolution: 768
|
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 |
+
snr_gamma: null
|
50 |
+
text_encoder_use_attention_mask: false
|
51 |
+
tokenizer_max_length: null
|
52 |
+
tokenizer_name: null
|
53 |
+
train_batch_size: 1
|
54 |
+
train_text_encoder: false
|
55 |
+
use_8bit_adam: true
|
56 |
+
validation_prompt: null
|
57 |
+
validation_scheduler: DPMSolverMultistepScheduler
|
58 |
+
validation_steps: 100
|
59 |
+
variant: null
|
60 |
+
with_prior_preservation: false
|
logs/dreambooth/1725523477.8085332/events.out.tfevents.1725523477.jupyter-admin1.749.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:cbca2e7c95bdd1fcccbf8487e356d25923261d3832fe11b884f5f8915e881555
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size 2696
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logs/dreambooth/1725523477.8100991/hparams.yml
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|
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|
|
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|
|
|
|
|
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|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "AutoencoderKL",
|
3 |
+
"_diffusers_version": "0.31.0.dev0",
|
4 |
+
"_name_or_path": "/home/jovyan/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
|
5 |
+
"act_fn": "silu",
|
6 |
+
"block_out_channels": [
|
7 |
+
128,
|
8 |
+
256,
|
9 |
+
512,
|
10 |
+
512
|
11 |
+
],
|
12 |
+
"down_block_types": [
|
13 |
+
"DownEncoderBlock2D",
|
14 |
+
"DownEncoderBlock2D",
|
15 |
+
"DownEncoderBlock2D",
|
16 |
+
"DownEncoderBlock2D"
|
17 |
+
],
|
18 |
+
"force_upcast": true,
|
19 |
+
"in_channels": 3,
|
20 |
+
"latent_channels": 4,
|
21 |
+
"latents_mean": null,
|
22 |
+
"latents_std": null,
|
23 |
+
"layers_per_block": 2,
|
24 |
+
"mid_block_add_attention": true,
|
25 |
+
"norm_num_groups": 32,
|
26 |
+
"out_channels": 3,
|
27 |
+
"sample_size": 768,
|
28 |
+
"scaling_factor": 0.18215,
|
29 |
+
"shift_factor": null,
|
30 |
+
"up_block_types": [
|
31 |
+
"UpDecoderBlock2D",
|
32 |
+
"UpDecoderBlock2D",
|
33 |
+
"UpDecoderBlock2D",
|
34 |
+
"UpDecoderBlock2D"
|
35 |
+
],
|
36 |
+
"use_post_quant_conv": true,
|
37 |
+
"use_quant_conv": true
|
38 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
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|
|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:2aa1f43011b553a4cba7f37456465cdbd48aab7b54b9348b890e8058ea7683ec
|
3 |
+
size 334643268
|