Finetuning large models doesn't have to be complicated and expensive. In this tutorial, I provide a stepbystep demonstration of the finetuning process for a Stable Diffusion model geared towards Pokemon image generation. Utilizing a preexisting script sourced from the Hugging Face diffusers library, the configuration is set to leverage the LoRA algorithm from the Hugging Face PEFT library. The training procedure is executed on a modest AWS GPU instance (g4dn.xlarge), optimizing costeffectiveness through the utilization of EC2 Spot Instances, resulting in a total cost as low as $1.

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Blog: https://huggingface.co/blog/lora
Model: https://huggingface.co/juliensimon/st...
Dataset: https://huggingface.co/datasets/lambd...
Amazon EC2 G4 instances: https://aws.amazon.com/ec2/instancet...

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