Featured examples

Step-by-step guides for building and deploying AI applications on Runpod.

This page includes our most recently tested and updated examples. Many of our old guides are out of date and include deprecated instructions. We’re actively working on updating them.

This section includes step-by-step guides to help you build and deploy example applications on the Runpod platform, covering basic concepts and advanced implementations.

Get started

If you’re new to Runpod, start with these foundational examples to understand the platform and deploy your first application:

Create an image generation endpoint with Serverless

Deploy a Stable Diffusion endpoint and generate your first AI image using Serverless.

Run LLM inference on Pods with JupyterLab

Launch JupyterLab on a GPU Pod and run LLM inference using the Python transformers library.

Deploy ComfyUI

Learn how to deploy ComfyUI on Serverless or Pods and generate images with text-to-image models.

Generate images with ComfyUI on Serverless

Deploy ComfyUI on Serverless and generate images using JSON workflows.

Generate images with ComfyUI on Pods

Deploy ComfyUI on a GPU Pod and generate images using the ComfyUI web interface.