Want to try Invoke AI’s powerful infinite canvas and Stable Diffusion tools? Here’s how to launch them on RunPod with minimal setup.

This post shows how to deploy a full Stable Diffusion UI using a community-created template on Runpod. With just a few clicks, you can generate high-quality images through a browser interface—no setup or coding required.

Curious about JAX-based diffusion models? This post walks through setting up and running them on Runpod using our GPU pods. It covers environment setup, model launching, and highlights the performance benefits of JAX for image generation workflows.

StyleGAN3 represents a leap forward in GAN-based image generation, offering high-resolution outputs without aliasing artifacts. This post explores how Exploding-cat trained a fork of StyleGAN3—Vision-Aided GAN—on Runpod using 4x A6000 GPUs and a 300K-image dataset. The setup improves quality via CLIP, DINO, and VGG supervision, and demonstrates results at various training milestones.

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.