End of training
Browse files- .gitattributes +4 -0
- 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-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-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
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-700/optimizer.bin +3 -0
- checkpoint-700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-700/random_states_0.pkl +3 -0
- checkpoint-700/scheduler.bin +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/scheduler.bin +3 -0
- checkpoint-900/optimizer.bin +3 -0
- checkpoint-900/pytorch_lora_weights.safetensors +3 -0
- checkpoint-900/random_states_0.pkl +3 -0
- checkpoint-900/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/1745680329.8034952/events.out.tfevents.1745680329.76605e2484b1.1534.1 +3 -0
- logs/dreambooth-lora/1745680329.8050132/hparams.yml +57 -0
- logs/dreambooth-lora/events.out.tfevents.1745680329.76605e2484b1.1534.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* 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-2
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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instance_prompt: a photo of cat toy
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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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---
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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 - hafsa101010/cat_toy-stable-diffusion-v2
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These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were trained on a photo of cat toy 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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adam_beta1: 0.9
|
| 2 |
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adam_beta2: 0.999
|
| 3 |
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adam_epsilon: 1.0e-08
|
| 4 |
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adam_weight_decay: 0.01
|
| 5 |
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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
|
| 9 |
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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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| 12 |
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dataloader_num_workers: 0
|
| 13 |
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enable_xformers_memory_efficient_attention: false
|
| 14 |
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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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image_interpolation_mode: lanczos
|
| 19 |
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instance_data_dir: cat_toy
|
| 20 |
+
instance_prompt: a photo of cat toy
|
| 21 |
+
learning_rate: 0.0001
|
| 22 |
+
local_rank: -1
|
| 23 |
+
logging_dir: logs
|
| 24 |
+
lr_num_cycles: 1
|
| 25 |
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lr_power: 1.0
|
| 26 |
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lr_scheduler: constant
|
| 27 |
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lr_warmup_steps: 0
|
| 28 |
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max_grad_norm: 1.0
|
| 29 |
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max_train_steps: 1000
|
| 30 |
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mixed_precision: 'no'
|
| 31 |
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num_class_images: 100
|
| 32 |
+
num_train_epochs: 250
|
| 33 |
+
num_validation_images: 4
|
| 34 |
+
output_dir: cat_toy-stable-diffusion-v2
|
| 35 |
+
pre_compute_text_embeddings: false
|
| 36 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-2
|
| 37 |
+
prior_generation_precision: null
|
| 38 |
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prior_loss_weight: 1.0
|
| 39 |
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push_to_hub: true
|
| 40 |
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rank: 4
|
| 41 |
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report_to: tensorboard
|
| 42 |
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resolution: 768
|
| 43 |
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resume_from_checkpoint: null
|
| 44 |
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revision: null
|
| 45 |
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sample_batch_size: 4
|
| 46 |
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scale_lr: false
|
| 47 |
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seed: 0
|
| 48 |
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text_encoder_use_attention_mask: false
|
| 49 |
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tokenizer_max_length: null
|
| 50 |
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tokenizer_name: null
|
| 51 |
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train_batch_size: 1
|
| 52 |
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train_text_encoder: false
|
| 53 |
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use_8bit_adam: false
|
| 54 |
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validation_epochs: 50
|
| 55 |
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validation_prompt: a photo of a cat toy
|
| 56 |
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variant: null
|
| 57 |
+
with_prior_preservation: false
|
logs/dreambooth-lora/events.out.tfevents.1745680329.76605e2484b1.1534.0
ADDED
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pytorch_lora_weights.safetensors
ADDED
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