End of training
Browse files- README.md +43 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/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
- logs/dreambooth-lora/1716692038.8044803/events.out.tfevents.1716692038.5cf58d94f6e8.1898.1 +3 -0
- logs/dreambooth-lora/1716692038.8079314/hparams.yml +56 -0
- logs/dreambooth-lora/1716692072.9843812/events.out.tfevents.1716692072.5cf58d94f6e8.1936.1 +3 -0
- logs/dreambooth-lora/1716692072.9873266/hparams.yml +56 -0
- logs/dreambooth-lora/events.out.tfevents.1716692038.5cf58d94f6e8.1898.0 +3 -0
- logs/dreambooth-lora/events.out.tfevents.1716692072.5cf58d94f6e8.1936.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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library_name: diffusers
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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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base_model: runwayml/stable-diffusion-v1-5
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inference: true
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instance_prompt: 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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# LoRA DreamBooth - William2357/Output2
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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-1000/optimizer.bin
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checkpoint-1000/pytorch_lora_weights.safetensors
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scheduler.bin
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scheduler.bin
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logs/dreambooth-lora/1716692038.8044803/events.out.tfevents.1716692038.5cf58d94f6e8.1898.1
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logs/dreambooth-lora/1716692038.8079314/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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| 6 |
+
center_crop: false
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| 7 |
+
checkpointing_steps: 500
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| 8 |
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checkpoints_total_limit: null
|
| 9 |
+
class_data_dir: null
|
| 10 |
+
class_labels_conditioning: null
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| 11 |
+
class_prompt: null
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| 12 |
+
dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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| 14 |
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gradient_accumulation_steps: 1
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| 15 |
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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: dog
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| 20 |
+
learning_rate: 5.0e-06
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local_rank: -1
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logging_dir: logs
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| 23 |
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lr_num_cycles: 1
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| 24 |
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lr_power: 1.0
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| 25 |
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lr_scheduler: constant
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| 26 |
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lr_warmup_steps: 0
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| 27 |
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max_grad_norm: 1.0
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| 28 |
+
max_train_steps: 1000
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| 29 |
+
mixed_precision: bf16
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| 30 |
+
num_class_images: 100
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| 31 |
+
num_train_epochs: 200
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| 32 |
+
num_validation_images: 4
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| 33 |
+
output_dir: Output2
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| 34 |
+
pre_compute_text_embeddings: false
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| 35 |
+
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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| 36 |
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prior_generation_precision: null
|
| 37 |
+
prior_loss_weight: 1.0
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| 38 |
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push_to_hub: true
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| 39 |
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rank: 4
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| 40 |
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report_to: tensorboard
|
| 41 |
+
resolution: 512
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| 42 |
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resume_from_checkpoint: null
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| 43 |
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revision: null
|
| 44 |
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sample_batch_size: 4
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| 45 |
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scale_lr: false
|
| 46 |
+
seed: null
|
| 47 |
+
text_encoder_use_attention_mask: false
|
| 48 |
+
tokenizer_max_length: null
|
| 49 |
+
tokenizer_name: null
|
| 50 |
+
train_batch_size: 1
|
| 51 |
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train_text_encoder: false
|
| 52 |
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use_8bit_adam: true
|
| 53 |
+
validation_epochs: 50
|
| 54 |
+
validation_prompt: null
|
| 55 |
+
variant: null
|
| 56 |
+
with_prior_preservation: false
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logs/dreambooth-lora/1716692072.9843812/events.out.tfevents.1716692072.5cf58d94f6e8.1936.1
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size 2560
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logs/dreambooth-lora/1716692072.9873266/hparams.yml
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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: 500
|
| 8 |
+
checkpoints_total_limit: null
|
| 9 |
+
class_data_dir: null
|
| 10 |
+
class_labels_conditioning: null
|
| 11 |
+
class_prompt: null
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| 12 |
+
dataloader_num_workers: 0
|
| 13 |
+
enable_xformers_memory_efficient_attention: false
|
| 14 |
+
gradient_accumulation_steps: 1
|
| 15 |
+
gradient_checkpointing: true
|
| 16 |
+
hub_model_id: null
|
| 17 |
+
hub_token: null
|
| 18 |
+
instance_data_dir: dog
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| 19 |
+
instance_prompt: dog
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| 20 |
+
learning_rate: 5.0e-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: 1000
|
| 29 |
+
mixed_precision: bf16
|
| 30 |
+
num_class_images: 100
|
| 31 |
+
num_train_epochs: 200
|
| 32 |
+
num_validation_images: 4
|
| 33 |
+
output_dir: Output2
|
| 34 |
+
pre_compute_text_embeddings: false
|
| 35 |
+
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
|
| 36 |
+
prior_generation_precision: null
|
| 37 |
+
prior_loss_weight: 1.0
|
| 38 |
+
push_to_hub: true
|
| 39 |
+
rank: 4
|
| 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 |
+
text_encoder_use_attention_mask: false
|
| 48 |
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tokenizer_max_length: null
|
| 49 |
+
tokenizer_name: null
|
| 50 |
+
train_batch_size: 1
|
| 51 |
+
train_text_encoder: false
|
| 52 |
+
use_8bit_adam: true
|
| 53 |
+
validation_epochs: 50
|
| 54 |
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validation_prompt: null
|
| 55 |
+
variant: null
|
| 56 |
+
with_prior_preservation: false
|
logs/dreambooth-lora/events.out.tfevents.1716692038.5cf58d94f6e8.1898.0
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