CheXOne
Built by StanfordAIMI, CheXOne is an image-generation model. CheXOne is an open-weights image model.
by StanfordAIMI
Best for
Ways to use CheXOne in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your StanfordAIMI API key. osFoundry discovers CheXOne 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
CheXOne 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.
CheXOne vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about CheXOne
Is CheXOne free to use?
CheXOne 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 CheXOne 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 CheXOne locally?
Yes. CheXOne is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is CheXOne best at?
CheXOne is well-suited to image text to text.
How do I use CheXOne in osFoundry?
Paste your StanfordAIMI API key in the key dialog (or deploy the open weights for self-hostable models), assign CheXOne to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by StanfordAIMI on January 21, 2026. Source: https://huggingface.co/StanfordAIMI/CheXOne