End of training
Browse files- .gitattributes +4 -0
- README.md +74 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora-sd-xl/1724320351.2612333/events.out.tfevents.1724320351.4d90a6512f07.283.1 +3 -0
- logs/dreambooth-lora-sd-xl/1724320351.2629168/hparams.yml +70 -0
- logs/dreambooth-lora-sd-xl/1724320491.8322983/events.out.tfevents.1724320491.4d90a6512f07.388.1 +3 -0
- logs/dreambooth-lora-sd-xl/1724320491.8339093/hparams.yml +70 -0
- logs/dreambooth-lora-sd-xl/1724321220.0723474/events.out.tfevents.1724321220.4d90a6512f07.2033.1 +3 -0
- logs/dreambooth-lora-sd-xl/1724321220.0752914/hparams.yml +70 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1724320351.4d90a6512f07.283.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1724320491.4d90a6512f07.388.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1724321220.4d90a6512f07.2033.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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image_1.png filter=lfs diff=lfs merge=lfs -text
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image_2.png filter=lfs diff=lfs merge=lfs -text
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image_3.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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+
base_model: stabilityai/stable-diffusion-xl-base-1.0
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+
library_name: diffusers
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license: openrail++
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tags:
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+
- text-to-image
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- template:sd-lora
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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instance_prompt: a photo of sks cocacola bottle
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widget:
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- text: a photo of sks cocacola bottle in a bucket
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output:
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url: image_0.png
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- text: a photo of sks cocacola bottle in a bucket
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output:
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url: image_1.png
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- text: a photo of sks cocacola bottle in a bucket
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output:
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url: image_2.png
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- text: a photo of sks cocacola bottle in a bucket
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output:
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url: image_3.png
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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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# SDXL LoRA DreamBooth - nikita200/docker-test-trained
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<Gallery />
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## Model description
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These are nikita200/docker-test-trained LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use a photo of sks cocacola bottle to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](nikita200/docker-test-trained/tree/main) them in the Files & versions tab.
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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]
|
image_0.png
ADDED
![]() |
Git LFS Details
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image_1.png
ADDED
![]() |
Git LFS Details
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image_2.png
ADDED
![]() |
Git LFS Details
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image_3.png
ADDED
![]() |
Git LFS Details
|
logs/dreambooth-lora-sd-xl/1724320351.2612333/events.out.tfevents.1724320351.4d90a6512f07.283.1
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 3366
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logs/dreambooth-lora-sd-xl/1724320351.2629168/hparams.yml
ADDED
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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: 0.0001
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5 |
+
adam_weight_decay_text_encoder: 0.001
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6 |
+
allow_tf32: false
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7 |
+
cache_dir: null
|
8 |
+
caption_column: null
|
9 |
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center_crop: false
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10 |
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checkpointing_steps: 500
|
11 |
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checkpoints_total_limit: null
|
12 |
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class_data_dir: null
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13 |
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class_prompt: null
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dataloader_num_workers: 0
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15 |
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dataset_config_name: null
|
16 |
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dataset_name: null
|
17 |
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do_edm_style_training: false
|
18 |
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enable_xformers_memory_efficient_attention: false
|
19 |
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gradient_accumulation_steps: 2
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20 |
+
gradient_checkpointing: false
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21 |
+
hub_model_id: null
|
22 |
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hub_token: null
|
23 |
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image_column: image
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24 |
+
instance_data_dir: uploads/b447557f-a6c6-4175-8b01-ab99f0229576
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25 |
+
instance_prompt: a photo of sks cocacola bottle
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26 |
+
learning_rate: 0.0001
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27 |
+
local_rank: -1
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28 |
+
logging_dir: logs
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29 |
+
lr_num_cycles: 1
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30 |
+
lr_power: 1.0
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+
lr_scheduler: constant
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32 |
+
lr_warmup_steps: 0
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33 |
+
max_grad_norm: 1.0
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34 |
+
max_train_steps: 10
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+
mixed_precision: fp16
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36 |
+
num_class_images: 100
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37 |
+
num_train_epochs: 3
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38 |
+
num_validation_images: 4
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39 |
+
optimizer: AdamW
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40 |
+
output_dir: docker-test-trained
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41 |
+
output_kohya_format: false
|
42 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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43 |
+
pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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44 |
+
prior_generation_precision: null
|
45 |
+
prior_loss_weight: 1.0
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46 |
+
prodigy_beta3: null
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47 |
+
prodigy_decouple: true
|
48 |
+
prodigy_safeguard_warmup: true
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49 |
+
prodigy_use_bias_correction: true
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50 |
+
push_to_hub: true
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51 |
+
random_flip: false
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52 |
+
rank: 4
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53 |
+
repeats: 1
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54 |
+
report_to: tensorboard
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55 |
+
resolution: 128
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56 |
+
resume_from_checkpoint: null
|
57 |
+
revision: null
|
58 |
+
sample_batch_size: 4
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59 |
+
scale_lr: false
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60 |
+
seed: 0
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61 |
+
snr_gamma: null
|
62 |
+
text_encoder_lr: 5.0e-06
|
63 |
+
train_batch_size: 1
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64 |
+
train_text_encoder: false
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65 |
+
use_8bit_adam: false
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66 |
+
use_dora: false
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67 |
+
validation_epochs: 25
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68 |
+
validation_prompt: a photo of sks cocacola bottle in a bucket
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+
variant: null
|
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+
with_prior_preservation: false
|
logs/dreambooth-lora-sd-xl/1724320491.8322983/events.out.tfevents.1724320491.4d90a6512f07.388.1
ADDED
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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size 3366
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logs/dreambooth-lora-sd-xl/1724320491.8339093/hparams.yml
ADDED
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1 |
+
adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
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adam_weight_decay: 0.0001
|
5 |
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adam_weight_decay_text_encoder: 0.001
|
6 |
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allow_tf32: false
|
7 |
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cache_dir: null
|
8 |
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caption_column: null
|
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center_crop: false
|
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checkpointing_steps: 500
|
11 |
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checkpoints_total_limit: null
|
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class_data_dir: null
|
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class_prompt: null
|
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dataloader_num_workers: 0
|
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dataset_config_name: null
|
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dataset_name: null
|
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do_edm_style_training: false
|
18 |
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enable_xformers_memory_efficient_attention: false
|
19 |
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gradient_accumulation_steps: 2
|
20 |
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gradient_checkpointing: false
|
21 |
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hub_model_id: null
|
22 |
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hub_token: null
|
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image_column: image
|
24 |
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instance_data_dir: uploads/b447557f-a6c6-4175-8b01-ab99f0229576
|
25 |
+
instance_prompt: a photo of sks cocacola bottle
|
26 |
+
learning_rate: 0.0001
|
27 |
+
local_rank: -1
|
28 |
+
logging_dir: logs
|
29 |
+
lr_num_cycles: 1
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30 |
+
lr_power: 1.0
|
31 |
+
lr_scheduler: constant
|
32 |
+
lr_warmup_steps: 0
|
33 |
+
max_grad_norm: 1.0
|
34 |
+
max_train_steps: 10
|
35 |
+
mixed_precision: fp16
|
36 |
+
num_class_images: 100
|
37 |
+
num_train_epochs: 3
|
38 |
+
num_validation_images: 4
|
39 |
+
optimizer: AdamW
|
40 |
+
output_dir: docker-test-trained
|
41 |
+
output_kohya_format: false
|
42 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
|
43 |
+
pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
|
44 |
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prior_generation_precision: null
|
45 |
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prior_loss_weight: 1.0
|
46 |
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prodigy_beta3: null
|
47 |
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prodigy_decouple: true
|
48 |
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prodigy_safeguard_warmup: true
|
49 |
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prodigy_use_bias_correction: true
|
50 |
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push_to_hub: true
|
51 |
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random_flip: false
|
52 |
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rank: 4
|
53 |
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repeats: 1
|
54 |
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report_to: tensorboard
|
55 |
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resolution: 128
|
56 |
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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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snr_gamma: null
|
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text_encoder_lr: 5.0e-06
|
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train_batch_size: 1
|
64 |
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train_text_encoder: false
|
65 |
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use_8bit_adam: false
|
66 |
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use_dora: false
|
67 |
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validation_epochs: 25
|
68 |
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validation_prompt: a photo of sks cocacola bottle in a bucket
|
69 |
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variant: null
|
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with_prior_preservation: false
|
logs/dreambooth-lora-sd-xl/1724321220.0723474/events.out.tfevents.1724321220.4d90a6512f07.2033.1
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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logs/dreambooth-lora-sd-xl/1724321220.0752914/hparams.yml
ADDED
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|
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+
adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.0001
|
5 |
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adam_weight_decay_text_encoder: 0.001
|
6 |
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allow_tf32: false
|
7 |
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cache_dir: null
|
8 |
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caption_column: null
|
9 |
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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_prompt: null
|
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dataloader_num_workers: 0
|
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dataset_config_name: null
|
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dataset_name: null
|
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do_edm_style_training: false
|
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enable_xformers_memory_efficient_attention: false
|
19 |
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gradient_accumulation_steps: 2
|
20 |
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gradient_checkpointing: false
|
21 |
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hub_model_id: null
|
22 |
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hub_token: null
|
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image_column: image
|
24 |
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instance_data_dir: uploads/b447557f-a6c6-4175-8b01-ab99f0229576
|
25 |
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instance_prompt: a photo of sks cocacola bottle
|
26 |
+
learning_rate: 0.0001
|
27 |
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local_rank: -1
|
28 |
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logging_dir: logs
|
29 |
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lr_num_cycles: 1
|
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