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abwqr
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text2img_vision

Text-to-Image
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TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
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abwqr commited on
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1 Parent(s): f31017c

End of training

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Files changed (12) hide show
  1. README.md +4 -0
  2. image_0.png +0 -0
  3. image_1.png +0 -0
  4. image_2.png +0 -0
  5. image_3.png +0 -0
  6. logs/text2image-fine-tune/1689851386.28328/events.out.tfevents.1689851386.5e88573885a6.27058.1 +3 -0
  7. logs/text2image-fine-tune/1689851386.2850447/hparams.yml +49 -0
  8. logs/text2image-fine-tune/1689852471.3822699/events.out.tfevents.1689852471.5e88573885a6.31662.1 +3 -0
  9. logs/text2image-fine-tune/1689852471.3845973/hparams.yml +49 -0
  10. logs/text2image-fine-tune/events.out.tfevents.1689851386.5e88573885a6.27058.0 +3 -0
  11. logs/text2image-fine-tune/events.out.tfevents.1689852471.5e88573885a6.31662.0 +3 -0
  12. pytorch_lora_weights.bin +1 -1
README.md CHANGED
@@ -14,4 +14,8 @@ inference: true
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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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  # 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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+ ![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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image_0.png ADDED
image_1.png ADDED
image_2.png ADDED
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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: 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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+ 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: Michael Scott cartoon
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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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+ 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_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: 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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+ 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: Michael Scott cartoon
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