ComfyUI as an AI Backend: API Integration | ComfyUI Tutorial S07

This video is part of the Olares × @SweetValberry ComfyUI tutorial series. Move beyond the front-end UI. This episode shows how to use ComfyUI as a backend AI inference service from your own code: the HTTP API endpoints, the WebSocket event stream, the minimal connect-submit-track-fetch flow, exporting a workflow as API JSON, and running a sample Python script against your ComfyUI instance. // TABLE OF CONTENTS 00:00 - Intro 00:54 - API Overview 03:06 - Hands-on Practice 05:50 - Outro // NOTE The narration is auto-dubbed, so some technical terms may sound slightly off. --- // RESOURCES & DOCUMENTATION • Full Documentation: https://docs.olares.com/manual/overview.html • Intall Olares: https://docs.olares.com/manual/get-started/install-olares.html • Use cases: https://docs.olares.com/use-cases/ • Browse Olares Market: https://market.olares.com/ // ABOUT Olares Olares is a company dedicated to democratizing AI with a clear mission: to let people own their data again. We fulfill this mission with Olares OS, an open-source personal cloud operating system that makes powerful AI local, secure, and accessible. // STAY CONNECTED • Website: https://www.olares.com/ • GitHub: https://github.com/beclab/Olares • Forum (For discussions): https://forum.olares.com/ • Discord (For sharing anything): https://discord.gg/olares • X: https://x.com/Olares_OS For other inquiries, please contact [email protected]. #ComfyUI #AIGC #LocalAI #selfhostedAI #Olares #AItutorial #BeginnerTutorial #ComfyUIAPI #AIbackend #WebSocket #Python #ComfyUIworkflow #inferenceAPI