End of training
Browse files- README.md +47 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- logs/dreambooth-lora/1726022942.9381604/events.out.tfevents.1726022942.ubun.70327.1 +3 -0
- logs/dreambooth-lora/1726022942.9391885/hparams.yml +56 -0
- logs/dreambooth-lora/1726025390.6571488/events.out.tfevents.1726025390.ubun.72035.1 +3 -0
- logs/dreambooth-lora/1726025390.6582105/hparams.yml +56 -0
- logs/dreambooth-lora/1726025778.7404375/events.out.tfevents.1726025778.ubun.72531.1 +3 -0
- logs/dreambooth-lora/1726025778.7413707/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1726022942.ubun.70327.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726025390.ubun.72035.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1726025778.ubun.72531.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: CompVis/stable-diffusion-v1-4
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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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- diffusers
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- lora
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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: Please paint in ChenLe's style
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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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# LoRA DreamBooth - lzsds/output_model
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on Please paint in ChenLe's style 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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LoRA 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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checkpoint-100/optimizer.bin
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image_0.png
ADDED
image_1.png
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image_2.png
ADDED
image_3.png
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logs/dreambooth-lora/1726022942.9381604/events.out.tfevents.1726022942.ubun.70327.1
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logs/dreambooth-lora/1726022942.9391885/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: 100
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checkpoints_total_limit: null
|
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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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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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instance_data_dir: ChenLe
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instance_prompt: Please paint in ChenLe's style
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learning_rate: 0.0001
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local_rank: 0
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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: 500
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 10
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num_validation_images: 4
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output_dir: output_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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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: 0
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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: false
|
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validation_epochs: 50
|
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+
validation_prompt: Please paint in ChenLe's style
|
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variant: null
|
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with_prior_preservation: false
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logs/dreambooth-lora/1726025390.6571488/events.out.tfevents.1726025390.ubun.72035.1
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logs/dreambooth-lora/1726025390.6582105/hparams.yml
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adam_beta1: 0.9
|
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adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.01
|
5 |
+
allow_tf32: false
|
6 |
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center_crop: false
|
7 |
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checkpointing_steps: 100
|
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checkpoints_total_limit: null
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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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enable_xformers_memory_efficient_attention: false
|
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gradient_accumulation_steps: 1
|
15 |
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gradient_checkpointing: false
|
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: ChenLe
|
19 |
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instance_prompt: Please paint in ChenLe's style
|
20 |
+
learning_rate: 0.0001
|
21 |
+
local_rank: 0
|
22 |
+
logging_dir: logs
|
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 |
+
max_grad_norm: 1.0
|
28 |
+
max_train_steps: 500
|
29 |
+
mixed_precision: null
|
30 |
+
num_class_images: 100
|
31 |
+
num_train_epochs: 10
|
32 |
+
num_validation_images: 4
|
33 |
+
output_dir: output_model
|
34 |
+
pre_compute_text_embeddings: false
|
35 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
36 |
+
prior_generation_precision: null
|
37 |
+
prior_loss_weight: 1.0
|
38 |
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push_to_hub: true
|
39 |
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rank: 4
|
40 |
+
report_to: tensorboard
|
41 |
+
resolution: 512
|
42 |
+
resume_from_checkpoint: null
|
43 |
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revision: null
|
44 |
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sample_batch_size: 4
|
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