Uploaded October 2023 | Updated September 2026, 2 weeks ago
Fine-tuning large models doesn't have to be complicated and expensive. In this tutorial, I provide a step-by-step demonstration of the fine-tuning process for a Stable Diffusion model geared towards Pokemon image generation. Utilizing a pre-existing 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 cost-effectiveness through the utilization of EC2 Spot Instances, resulting in a total cost as low as $1.
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- Blog: huggingface.co/blog/lora
- Model: huggingface.co/juliensimon/stable-diffusion-v1-5-pokemon-lora
- Dataset: huggingface.co/datasets/lambdalabs/pokemon-blip-captions
- Amazon EC2 G4 instances: aws.amazon.com/ec2/instance-types/g4
Follow me on Medium at julsimon.medium.com or Substack at https://julsimon.substack.com.
Fine-tuning large models doesn't have to be complicated and expensive. In this tutorial, I provide a step-by-step demonstration of the fine-tuning process for a Stable Diffusion model geared towards Pokemon image generation. Utilizing a pre-existing 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 cost-effectiveness through the utilization of EC2 Spot Instances, resulting in a total cost as low as $1.
⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos ⭐️⭐️⭐️
- Blog: huggingface.co/blog/lora
- Model: huggingface.co/juliensimon/stable-diffusion-v1-5-pokemon-lora
- Dataset: huggingface.co/datasets/lambdalabs/pokemon-blip-captions
- Amazon EC2 G4 instances: aws.amazon.com/ec2/instance-types/g4
Follow me on Medium at julsimon.medium.com or Substack at https://julsimon.substack.com.
