RealCoreXL
rityak's RealCoreXL is a image-generation model. RealCoreXL is an open-weights image model.
by rityak
Best for
Ways to use RealCoreXL in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your rityak API key. osFoundry discovers RealCoreXL 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
RealCoreXL 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.
RealCoreXL vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RealCoreXL
Is RealCoreXL free to use?
RealCoreXL 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 RealCoreXL 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 RealCoreXL locally?
Yes. RealCoreXL is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RealCoreXL best at?
RealCoreXL is well-suited to text to image.
How do I use RealCoreXL in osFoundry?
Paste your rityak API key in the key dialog (or deploy the open weights for self-hostable models), assign RealCoreXL to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by rityak on October 30, 2025. Source: https://huggingface.co/rityak/RealCoreXL