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  To trigger the LoRA use the prompt `in style of DSYL`
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  ## Training
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- This adapter has been trained using the [autotrain-advanced dreambooth colab-notebook](https://github.com/huggingface/autotrain-advanced/tree/main?tab=readme-ov-file#colabs) with the dataset stored in `./images/training`.
 
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  Training time was ~14 minutes on a T4 instance.
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  To trigger the LoRA use the prompt `in style of DSYL`
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  ## Training
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+ This adapter has been trained using the [autotrain-advanced dreambooth colab-notebook](https://github.com/huggingface/autotrain-advanced/tree/main?tab=readme-ov-file#colabs)
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+ with the dataset stored in [`./images/training`](https://huggingface.co/philipp-zettl/disco-elysium-lora/tree/main/images/training).
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  Training time was ~14 minutes on a T4 instance.
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