replicate / dreambooth

Train your own custom Stable Diffusion model using a small set of images

  • Public
  • 295.3K runs
  • GitHub
  • Paper
  • License
Run with an API
Playground API Examples README Versions

Run time and cost

This model costs approximately $1.10 to run on Replicate, or 0 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 14 minutes.

Readme

DreamBooth is a way to train Stable Diffusion on a particular object or style, creating your own version of the model that generates those objects or styles. You can train a model with as few as three images and the training process takes less than half an hour.

We’ve built an API that lets you train DreamBooth models and run predictions on them in the cloud.

Take a read of our blog post to learn how to use our DreamBooth API.