
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.
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This post features a video tutorial by generativelabs.co that walks users through deploying a Stable Diffusion A1111 API using Runpod Serverless. It.

This blog post features a video tutorial from generativelabs.co that provides step-by-step instructions on how to use the Stable Diffusion A1111 API with Runpod Serverless.
Whether you're a beginner or an experienced user, the Runpod & Stable Diffusion Serverless video tutorial offers useful information.
Beginners will find the instructions clear and comprehensive, while advanced users can benefit from the shared tips and tools, like the tutorial's Postman collection for testing your Stable Diffusion A1111 serverless API.
The tutorial takes a practical approach, guiding you through the entire process. It starts with installing the necessary prerequisites, downloading custom models, modifying the Dockerfile and handler file, and finally pushing, deploying, and testing a serverless endpoint in Postman.
The guide covers various Stable Diffusion A1111 APIs, such as txt2img and img2img, and provides a modified handler giving an easy to follow pattern for exposing additional Stable Diffusion APIs beyond those shown.
In the video description, you'll find helpful links including:
With the knowledge gained from this tutorial, you're well-equipped to explore further. So, dive in, experiment, and tap into the possibilities that await you with Runpod Serverless.
Enjoy!
Author profile: Billy C
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