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ISABELLA-COTIER-LORA

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
diffusers-training
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iamkaikai commited on
Commit
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1 Parent(s): 62a3884

End of training

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Files changed (16) hide show
  1. Isabella-cotier-lora-150epoch.safetensors +3 -0
  2. README.md +1 -1
  3. checkpoint-40000/optimizer.bin +3 -0
  4. checkpoint-40000/pytorch_model.bin +3 -0
  5. checkpoint-40000/random_states_0.pkl +3 -0
  6. checkpoint-40000/scaler.pt +3 -0
  7. checkpoint-40000/scheduler.bin +3 -0
  8. image_0.png +0 -0
  9. image_1.png +0 -0
  10. image_2.png +0 -0
  11. image_3.png +0 -0
  12. logs/text2image-fine-tune/1704171733.3455346/events.out.tfevents.1704171733.DESKTOP-TNN0PMP.55704.1 +3 -0
  13. logs/text2image-fine-tune/1704171733.3475568/hparams.yml +50 -0
  14. logs/text2image-fine-tune/events.out.tfevents.1703640295.DESKTOP-TNN0PMP.6316.0 +2 -2
  15. logs/text2image-fine-tune/events.out.tfevents.1704171733.DESKTOP-TNN0PMP.55704.0 +3 -0
  16. pytorch_lora_weights.safetensors +1 -1
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README.md CHANGED
@@ -12,7 +12,7 @@ inference: true
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  ---
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  # LoRA text2image fine-tuning - iamkaikai/ISABELLA-COTIER-LORA
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- These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/ISABELLA-COTIER 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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  ---
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  # LoRA text2image fine-tuning - iamkaikai/ISABELLA-COTIER-LORA
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/ISABELLA-COTIER-ART 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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+ 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: true
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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: 2000
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+ checkpoints_total_limit: 1
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: iamkaikai/ISABELLA-COTIER-ART
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: false
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+ hub_model_id: ISABELLA-COTIER-LORA
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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: cosine
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+ lr_warmup_steps: 500
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 40950
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+ mixed_precision: fp16
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+ noise_offset: 0
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+ num_train_epochs: 150
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+ num_validation_images: 4
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+ output_dir: ISABELLA-COTIER-LORA
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+ prediction_type: null
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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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: 512
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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: 1337
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+ snr_gamma: null
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+ train_batch_size: 1
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+ train_data_dir: null
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+ use_8bit_adam: false
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+ validation_epochs: 100
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+ validation_prompt: ISABELLA-COTIER-ART, a man in a black lethear jacket holding a
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+ microphone, pink, gray, blue, orange
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