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Runpod Blog.

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InvokeAI Stable Diffusion on Runpod: Easy GPU Setup
Zhen Lu · 2022-12-07 · via Runpod Blog.

InvokeAI is a web-based creative engine for Stable Diffusion models used to generate, refine, and build visual AI workflows. This guide shows how to launch InvokeAI on Runpod when you want GPU-backed image generation without setting up CUDA and model dependencies locally.

Ever wanted to try invoke ai's awesome stable diffusion infinite canvas out, but didn't want to go through the hassle of installing a bunch of stuff? Maybe you just don't have a local GPU that can run it fast enough? No worries, we've got you covered with our easy deploy template for invoke ai!

If you don't have a powerful Nvidia GPU at home or you just don't want to go through the hassle of installing a bunch of drivers and managing dependencies, here's a really easy way to get started with invoke ai!

Just make sure to go to https://www.runpod.io/ and sign up for an account. Load up as little as $10 to get started.

I would recommend picking a 3090 GPU for this.

You can configure other settings to your liking, like requesting more disk space, or you can leave everything else default!

Deploy your instance through the UI, or you can click here to automatically load the template.

Runpod deploy step for 1x RTX A5000 with the fast Stable Diffusion image and a pricing summary

Go to your "My Pods" dashboard.

The new Invoke AI template does take a bit longer to set up, so this could take a few minutes or more depending on your pod's internet connection and CPU speed; please be patient! The older one started faster, but was harder to keep up to date with the latest features.

docker pull in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

You will know when your pod is ready when the CPU Utilization drops to 0%. This may take a minute or two.

After a few minutes, you can click Connect and then connect to jupyter lab:

Runpod connection options dialog with a Connect to Jupyter Lab on port 8888 button

Once you're in jupyter, start a terminal tab:

terminal JupyterLab in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

Then type invokeai-configure in your terminal window:

invoke launch in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

You should be presented with a menu of configuration options. Go through the menu options and make your choices to customize your invokeai experience.

invoke configure in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

Once this is complete, you should be able to launch the invoke UI by typing invokeai --web --host 0.0.0.0

in a terminal window.

invoke finished in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

Go back to your pod dashboard, where you can now connect via port 9090

invoke connect in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

You should then be directed to the invoke ai starting page

invoke ai started in InvokeAI Stable Diffusion on Runpod: Easy GPU Setup

Here are some cool videos made by the Invoke team showcasing their UI!

If you have any questions, or would just like to join the Runpod community, please visit us in Discord.

Author profile: Zhen Lu