File:Fine-tune Stable Diffusion with LoRA for as low as $1.webm
Summary
| Description |
English: 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: https://huggingface.co/blog/lora - Model: https://huggingface.co/juliensimon/stable-diffusion-v1-5-pokemon-lora - Dataset: https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions - Amazon EC2 G4 instances: https://aws.amazon.com/ec2/instance-types/g4/ Follow me on Medium at https://julsimon.medium.com or Substack at https://julsimon.substack.com. |
| Date | |
| Source | YouTube: Fine-tune Stable Diffusion with LoRA for as low as $1 – View/save archived versions on archive.orgCategory:Media from YouTube |
| Author | Julien Simon |
Licensing

This video, screenshot or audio excerpt was released under the Creative Commons license option on YouTube before August 2025. (YouTube changed the license version from CC BY 3.0 to 4.0 on August 1; this was not retroactive.)
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Julien Simon
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Category:AI model fine-tuning
Category:CC-BY-3.0
Category:Hugging Face
Category:License review needed (video)
Category:LoRa
Category:Media from YouTube
Category:Stable Diffusion
Category:Uploaded with video2commons
Category:Video tutorials
Category:Videos about artificial intelligence in English
Category:Videos in English
Category:Videos uploaded by Prototyperspective