End of training
Browse files- README.md +21 -0
- checkpoint-7000/optimizer.bin +3 -0
- checkpoint-7000/pytorch_model.bin +3 -0
- checkpoint-7000/random_states_0.pkl +3 -0
- checkpoint-7000/scaler.pt +3 -0
- checkpoint-7000/scheduler.bin +3 -0
- checkpoint-7500/optimizer.bin +3 -0
- checkpoint-7500/pytorch_model.bin +3 -0
- checkpoint-7500/random_states_0.pkl +3 -0
- checkpoint-7500/scaler.pt +3 -0
- checkpoint-7500/scheduler.bin +3 -0
- checkpoint-8000/optimizer.bin +3 -0
- checkpoint-8000/pytorch_model.bin +3 -0
- checkpoint-8000/random_states_0.pkl +3 -0
- checkpoint-8000/scaler.pt +3 -0
- checkpoint-8000/scheduler.bin +3 -0
- checkpoint-8500/optimizer.bin +3 -0
- checkpoint-8500/pytorch_model.bin +3 -0
- checkpoint-8500/random_states_0.pkl +3 -0
- checkpoint-8500/scaler.pt +3 -0
- checkpoint-8500/scheduler.bin +3 -0
- checkpoint-9000/optimizer.bin +3 -0
- checkpoint-9000/pytorch_model.bin +3 -0
- checkpoint-9000/random_states_0.pkl +3 -0
- checkpoint-9000/scaler.pt +3 -0
- checkpoint-9000/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/text2image-fine-tune/1701040892.0393696/events.out.tfevents.1701040892.3e6203504cd9.1476.1 +3 -0
- logs/text2image-fine-tune/1701040892.0419178/hparams.yml +49 -0
- logs/text2image-fine-tune/1701041014.6805804/events.out.tfevents.1701041014.3e6203504cd9.2188.1 +3 -0
- logs/text2image-fine-tune/1701041014.6823573/hparams.yml +49 -0
- logs/text2image-fine-tune/events.out.tfevents.1701040892.3e6203504cd9.1476.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1701041014.3e6203504cd9.2188.0 +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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base_model: runwayml/stable-diffusion-v1-5
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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 text2image fine-tuning - rrw23/pets8
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the pcuenq/oxford-pets dataset. You can find some example images in the following.
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checkpoint-8000/optimizer.bin
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image_0.png
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image_1.png
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image_2.png
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image_3.png
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logs/text2image-fine-tune/1701040892.0393696/events.out.tfevents.1701040892.3e6203504cd9.1476.1
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logs/text2image-fine-tune/1701040892.0419178/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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| 3 |
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adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.01
|
| 5 |
+
allow_tf32: false
|
| 6 |
+
cache_dir: null
|
| 7 |
+
caption_column: label
|
| 8 |
+
center_crop: true
|
| 9 |
+
checkpointing_steps: 500
|
| 10 |
+
checkpoints_total_limit: null
|
| 11 |
+
dataloader_num_workers: 8
|
| 12 |
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dataset_config_name: null
|
| 13 |
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dataset_name: pcuenq/oxford-pets
|
| 14 |
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enable_xformers_memory_efficient_attention: false
|
| 15 |
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gradient_accumulation_steps: 4
|
| 16 |
+
gradient_checkpointing: false
|
| 17 |
+
hub_model_id: pets8
|
| 18 |
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hub_token: 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
|
| 19 |
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image_column: image
|
| 20 |
+
learning_rate: 0.0001
|
| 21 |
+
local_rank: -1
|
| 22 |
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logging_dir: logs
|
| 23 |
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lr_scheduler: cosine
|
| 24 |
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lr_warmup_steps: 0
|
| 25 |
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max_grad_norm: 1.0
|
| 26 |
+
max_train_samples: null
|
| 27 |
+
max_train_steps: 9000
|
| 28 |
+
mixed_precision: null
|
| 29 |
+
noise_offset: 0
|
| 30 |
+
num_train_epochs: 20
|
| 31 |
+
num_validation_images: 4
|
| 32 |
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output_dir: /content/gdrive/MyDrive/
|
| 33 |
+
prediction_type: null
|
| 34 |
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
|
| 35 |
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push_to_hub: true
|
| 36 |
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random_flip: true
|
| 37 |
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rank: 4
|
| 38 |
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report_to: tensorboard
|
| 39 |
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resolution: 128
|
| 40 |
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resume_from_checkpoint: latest
|
| 41 |
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revision: null
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| 42 |
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scale_lr: false
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| 43 |
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seed: 1337
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| 44 |
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snr_gamma: null
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| 45 |
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train_batch_size: 4
|
| 46 |
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train_data_dir: null
|
| 47 |
+
use_8bit_adam: false
|
| 48 |
+
validation_epochs: 1
|
| 49 |
+
validation_prompt: Totoro
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logs/text2image-fine-tune/1701041014.6805804/events.out.tfevents.1701041014.3e6203504cd9.2188.1
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|
| 1 |
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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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|
| 5 |
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allow_tf32: false
|
| 6 |
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|
| 7 |
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caption_column: label
|
| 8 |
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|
| 9 |
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|
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|
| 11 |
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|
| 12 |
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dataset_config_name: null
|
| 13 |
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dataset_name: pcuenq/oxford-pets
|
| 14 |
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enable_xformers_memory_efficient_attention: false
|
| 15 |
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gradient_accumulation_steps: 4
|
| 16 |
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gradient_checkpointing: false
|
| 17 |
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hub_model_id: pets8
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hub_token: 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
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| 19 |
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image_column: image
|
| 20 |
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learning_rate: 0.0001
|
| 21 |
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local_rank: -1
|
| 22 |
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logging_dir: logs
|
| 23 |
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lr_scheduler: cosine
|
| 24 |
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lr_warmup_steps: 0
|
| 25 |
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max_grad_norm: 1.0
|
| 26 |
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max_train_samples: null
|
| 27 |
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max_train_steps: 9000
|
| 28 |
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mixed_precision: null
|
| 29 |
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noise_offset: 0
|
| 30 |
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num_train_epochs: 20
|
| 31 |
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num_validation_images: 4
|
| 32 |
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output_dir: /content/gdrive/MyDrive/
|
| 33 |
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prediction_type: null
|
| 34 |
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
|
| 35 |
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push_to_hub: true
|
| 36 |
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random_flip: true
|
| 37 |
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rank: 4
|
| 38 |
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report_to: tensorboard
|
| 39 |
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resolution: 128
|
| 40 |
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resume_from_checkpoint: latest
|
| 41 |
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revision: null
|
| 42 |
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scale_lr: false
|
| 43 |
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seed: 1337
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| 44 |
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snr_gamma: null
|
| 45 |
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train_batch_size: 4
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| 46 |
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train_data_dir: null
|
| 47 |
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use_8bit_adam: false
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| 48 |
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validation_epochs: 1
|
| 49 |
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validation_prompt: Totoro
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