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sdxl-naruto-lora_2

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sdxl-naruto-lora_2

This model is a fine-tuned version of stabilityai/stable-diffusion-xl-base-1.0 on an lambdalabs/naruto-blip-captions.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.9.1+cu128
  • Datasets 4.4.1
  • Tokenizers 0.22.1
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Dataset used to train ideepankarsharma2003/sdxl-naruto-lora_2