Skip to main contentPardeep is Runpod's CTO and co-founder
Learn how to use Runpod’s DreamBooth API to automate training and image generation. This guide covers preparing training data, sending requests via Postman, checking job status, and retrieving outputs, with tips for customizing models and prompts.
This guide explains how to launch a Runpod instance using the "Runpod Fast Stable Diffusion" template and train Dreambooth models using the included Jupyter notebooks. The post walks users through deploying the pod, connecting to JupyterLab, preparing instance images, setting training parameters, and running the Dreambooth training workflow. It also covers optional steps such as captioning, adding concept images, testing the trained model using Automatic1111, and uploading to Hugging Face.
