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Text to Image using Stable Diffusion with DreamBooth

Stable Diffusion is a generative model that creates high-quality images by gradually denoising from random noise. DreamBooth fine-tuning customizes this model by training it on specific examples, allowing it to generate personalized images based on unique tokens and descriptive prompts.

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Credit: DreamBooth

See the original DreamBooth project homepage for more details on what this fine-tuning method achieves.

Requirements

  • An OpenShift cluster with RHOAI or ODH deployed.
  • CSI driver capable of providing RWX volumes.
  • A node with a GPU card. The example has been tested with a AWS p3.8xlarge node.

Info

The full source and instructions for this demo are available on this repo and is based on this sample code.