This tutorial walks you through deploying Oobabooga’s Text Generation WebUI using the RunPod template. Includes steps for loading Pygmalion 6B and customizing your chatbot.

Learn how to remix existing images using ControlNet and Stable Diffusion on Runpod—perfect for creative experimentation and AI-powered visual iteration.

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.

Learn how to deploy Basaran, an open-source text generation API, on Runpod using a prebuilt template. Customize the model via environment variables and interact through the web UI or API.

DreamBooth can generate amazing, highly personalized images—but only if you train it well. In this post, Zhen walks through best practices for getting the most out of DreamBooth on Runpod. Learn what datasets to use, when to use regularization, how many steps are ideal, and which hyperparameters to tweak.

Want to code remotely like it’s local? This guide walks you through connecting VSCode to your Runpod instance using SSH for fast, seamless GPU development.