OLOID_Framework
OLOID_Framework (XonarLabs, 2026) is an image-generation model. OLOID_Framework is an open-weights image model.
by XonarLabs
Best for
Ways to use OLOID_Framework in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your XonarLabs API key. osFoundry discovers OLOID_Framework automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
OLOID_Framework is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
OLOID_Framework vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about OLOID_Framework
Is OLOID_Framework free to use?
OLOID_Framework is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use OLOID_Framework commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run OLOID_Framework locally?
Yes. OLOID_Framework is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is OLOID_Framework best at?
OLOID_Framework is well-suited to text to image.
How do I use OLOID_Framework in osFoundry?
Paste your XonarLabs API key in the key dialog (or deploy the open weights for self-hostable models), assign OLOID_Framework to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by XonarLabs on March 11, 2026. Source: https://huggingface.co/XonarLabs/OLOID_Framework