Runpod Blog.

This guide introduces prompt scheduling in Disco Diffusion, a technique that lets you shift prompts dynamically throughout an image generation run. Learn how to create multi-stage artistic outputs by evolving your prompts over time—ideal for storytelling or animated transitions.

Disco Diffusion is a powerful tool for generative art—but running it locally can be painfully slow. This post walks you through using Runpod to speed up your Disco Diffusion workflow, helping you render high-quality images faster and more efficiently with cloud GPUs.

Explore a unique artistic technique using Voronoi noise inits with Disco Diffusion on Runpod. This post walks through setup and tips for generating abstract, stylized results with this custom initialization method—perfect for artists pushing the boundaries of AI-generated visuals.

Compare Google Colab Pro and Runpod across pricing, reliability, and GPU access. Which is the better deal for developers running real AI workloads?

This post compares Runpod’s GPU Cloud with Google Colab Pro and Pro+, highlighting the differences in pricing, compute guarantees, and performance. While Colab offers ease of use via subscription, it lacks guaranteed access to GPUs. Runpod provides consistent access to powerful hardware with flexible, pay-as-you-go pricing.

Runpod now offers encrypted volumes to help secure sensitive data stored in persistent volumes. This post outlines the benefits and tradeoffs of volume encryption, and explains how users can enable it during deployment. Encryption boosts data security but may impact performance.

Confused about the difference between spot and on-demand GPU instances? This guide explains how each works on Runpod, including pricing, reliability, and best use cases—so you can choose the right compute for your workload.