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sdxl-naruto-lora_2 – AI Model by ideepankarsharma2003 | AlphaNeural AI

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ideepankarsharma2003/
sdxl-naruto-lora_2

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generated_from_trainer

lambdalabs/naruto-blip-captions

stabilityai/stable-diffusion-xl-base-1.0

endpoints_compatible

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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