Agentic AI Workflows Explained: Patterns, Infrastructure, and GPU Requirements
Agentic workflows plan, loop, and burst differently than a single model call — here's what that means for the infrastructure underneath.
All
Here's a quick and dirty guide to getting Huemin's JAX diffusion to run on runpod!
Today I figured I'd switch things up a bit and leave you a gif quick start instead of the usual article. It only takes a few minutes to get started with this and all the deps have been sorted out for you in the nb. If you need the notebook file that you should upload to your instance, you can download it from one of these two places: Link 1, Link 2
Please note that it will sit here for quite a few minutes while it downloads models and prepared for the first render cycle:
Be patient and it will start rendering when it's ready. I was getting around 1.5-2s/it on the demo example.
Enjoy!
Credits to: Huemin (@huemin_art), for the notebook, Alexander Redde (@alexanderredde3) for working out the deps, and nsheppherd (@nshepperd1) and Rivers Have Wings (@rivershavewings) for Jax Diffusion
Related posts
- Training StyleGAN3 with Vision-Aided GAN on Runpod
- Prompt Scheduling with Disco Diffusion on Runpod
- Creative Prompting with Disco Diffusion: Voronoi Noise Inits on Runpod
- How to Run a GPU-Accelerated Virtual Desktop on Runpod
- How to Connect Google Colab to Runpod
- Easily Back Up and Restore Your Pod with Cloud Sync + Backblaze B2
Author profile: Zhen Lu
