End of training
Browse files- .gitattributes +4 -0
- .gitignore +2 -0
- README.md +23 -0
- checkpoint-100/custom_checkpoint_0.pkl +3 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-200/custom_checkpoint_0.pkl +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-300/custom_checkpoint_0.pkl +3 -0
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/pytorch_model.bin +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-400/custom_checkpoint_0.pkl +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_model.bin +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-500/custom_checkpoint_0.pkl +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora/1681147910.849857/events.out.tfevents.1681147910.DESKTOP-EGQTHVM.20516.1 +3 -0
- logs/dreambooth-lora/1681147910.8580213/hparams.yml +49 -0
- logs/dreambooth-lora/events.out.tfevents.1681147910.DESKTOP-EGQTHVM.20516.0 +3 -0
- pytorch_lora_weights.bin +3 -0
.gitattributes
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@@ -32,3 +32,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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.gitignore
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step_*
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epoch_*
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README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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 - allen93/lora_sample
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. 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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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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Git LFS Details
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image_1.png
ADDED
Git LFS Details
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image_2.png
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Git LFS Details
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image_3.png
ADDED
Git LFS Details
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logs/dreambooth-lora/1681147910.849857/events.out.tfevents.1681147910.DESKTOP-EGQTHVM.20516.1
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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: 100
|
8 |
+
checkpoints_total_limit: null
|
9 |
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class_data_dir: null
|
10 |
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class_prompt: null
|
11 |
+
dataloader_num_workers: 0
|
12 |
+
enable_xformers_memory_efficient_attention: false
|
13 |
+
gradient_accumulation_steps: 1
|
14 |
+
gradient_checkpointing: false
|
15 |
+
hub_model_id: null
|
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hub_token: null
|
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instance_data_dir: ./dataset
|
18 |
+
instance_prompt: a photo of sks dog
|
19 |
+
learning_rate: 0.0001
|
20 |
+
local_rank: -1
|
21 |
+
logging_dir: logs
|
22 |
+
lr_num_cycles: 1
|
23 |
+
lr_power: 1.0
|
24 |
+
lr_scheduler: constant
|
25 |
+
lr_warmup_steps: 0
|
26 |
+
max_grad_norm: 1.0
|
27 |
+
max_train_steps: 500
|
28 |
+
mixed_precision: null
|
29 |
+
num_class_images: 100
|
30 |
+
num_train_epochs: 100
|
31 |
+
num_validation_images: 4
|
32 |
+
output_dir: ./lora_sample
|
33 |
+
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
|
34 |
+
prior_generation_precision: null
|
35 |
+
prior_loss_weight: 1.0
|
36 |
+
push_to_hub: true
|
37 |
+
report_to: tensorboard
|
38 |
+
resolution: 512
|
39 |
+
resume_from_checkpoint: null
|
40 |
+
revision: null
|
41 |
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sample_batch_size: 4
|
42 |
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scale_lr: false
|
43 |
+
seed: 0
|
44 |
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tokenizer_name: null
|
45 |
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train_batch_size: 1
|
46 |
+
use_8bit_adam: false
|
47 |
+
validation_epochs: 50
|
48 |
+
validation_prompt: A photo of sks dog in a bucket
|
49 |
+
with_prior_preservation: false
|
logs/dreambooth-lora/events.out.tfevents.1681147910.DESKTOP-EGQTHVM.20516.0
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