End of training
Browse files- README.md +17 -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
- logs/text2image-fine-tune/1689849034.3115041/events.out.tfevents.1689849034.5e88573885a6.1835.1 +3 -0
- logs/text2image-fine-tune/1689849034.313176/hparams.yml +49 -0
- logs/text2image-fine-tune/1689851106.2992063/events.out.tfevents.1689851106.5e88573885a6.25778.1 +3 -0
- logs/text2image-fine-tune/1689851106.3009179/hparams.yml +49 -0
- logs/text2image-fine-tune/events.out.tfevents.1689849034.5e88573885a6.1835.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1689851106.5e88573885a6.25778.0 +3 -0
- pytorch_lora_weights.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: nota-ai/bk-sdm-small
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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 - abwqr/text2img_vision
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These are LoRA adaption weights for nota-ai/bk-sdm-small. The weights were fine-tuned on the abwqr/michael_scott dataset. You can find some example images in the following.
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_model.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scheduler.bin
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logs/text2image-fine-tune/1689849034.3115041/events.out.tfevents.1689849034.5e88573885a6.1835.1
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logs/text2image-fine-tune/1689849034.313176/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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cache_dir: null
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caption_column: text
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center_crop: true
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 8
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dataset_config_name: null
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dataset_name: abwqr/michael_scott
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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hub_model_id: abwqr/text2img_vision
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hub_token: null
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image_column: image
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learning_rate: 1.0e-05
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local_rank: -1
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logging_dir: logs
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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_samples: null
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max_train_steps: 500
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mixed_precision: null
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noise_offset: 0
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num_train_epochs: 500
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num_validation_images: 4
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output_dir: abwqr/text2img_vision
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prediction_type: null
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pretrained_model_name_or_path: nota-ai/bk-sdm-small
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push_to_hub: true
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random_flip: true
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rank: 4
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report_to: tensorboard
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resolution: 300
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resume_from_checkpoint: null
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revision: null
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scale_lr: false
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seed: null
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snr_gamma: null
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train_batch_size: 4
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train_data_dir: null
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use_8bit_adam: false
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validation_epochs: 1
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validation_prompt: null
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logs/text2image-fine-tune/1689851106.2992063/events.out.tfevents.1689851106.5e88573885a6.25778.1
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size 2182
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logs/text2image-fine-tune/1689851106.3009179/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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4 |
+
adam_weight_decay: 0.01
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5 |
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allow_tf32: false
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cache_dir: null
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7 |
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caption_column: text
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8 |
+
center_crop: true
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9 |
+
checkpointing_steps: 500
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10 |
+
checkpoints_total_limit: null
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11 |
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dataloader_num_workers: 8
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12 |
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dataset_config_name: null
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dataset_name: abwqr/michael_scott
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14 |
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enable_xformers_memory_efficient_attention: false
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15 |
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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hub_model_id: abwqr/text2img_vision
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hub_token: null
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image_column: image
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learning_rate: 1.0e-05
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local_rank: -1
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logging_dir: logs
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lr_scheduler: constant
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lr_warmup_steps: 0
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25 |
+
max_grad_norm: 1.0
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+
max_train_samples: null
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+
max_train_steps: 1
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+
mixed_precision: null
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+
noise_offset: 0
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+
num_train_epochs: 1
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+
num_validation_images: 4
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output_dir: abwqr/text2img_vision
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prediction_type: null
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pretrained_model_name_or_path: nota-ai/bk-sdm-small
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35 |
+
push_to_hub: true
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36 |
+
random_flip: true
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37 |
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rank: 4
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report_to: tensorboard
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resolution: 300
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resume_from_checkpoint: null
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revision: null
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scale_lr: false
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seed: null
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snr_gamma: null
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train_batch_size: 4
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train_data_dir: null
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use_8bit_adam: false
|
48 |
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validation_epochs: 1
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49 |
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validation_prompt: null
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logs/text2image-fine-tune/events.out.tfevents.1689849034.5e88573885a6.1835.0
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logs/text2image-fine-tune/events.out.tfevents.1689851106.5e88573885a6.25778.0
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pytorch_lora_weights.bin
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