Set Up DreamBooth with the Runpod Fast Stable Diffusion Template
Blog post from RunPod
The article provides a comprehensive guide on setting up a Runpod instance with the "Runpod Fast Stable Diffusion" template to run Dreambooth using a Jupyter Notebook. It begins with instructions on deploying a Stable Diffusion pod by selecting a GPU, setting parameters, and ensuring that the Jupyter Notebook auto-starts. After deploying the pod, users can connect to it via Jupyter Lab to access prepackaged Dreambooth workbooks. The guide details the steps for training a model with Dreambooth, including selecting and preparing training images, associating them with a unique keyword, and optionally adding captions or concept images. It explains how to configure training parameters and monitor the training process. The article also covers testing the newly trained model to generate output images and provides an optional step for uploading the model to HuggingFace. Overall, it offers a thorough walkthrough for using Runpod to train and deploy Dreambooth models.