faceage_ClientScan
faceage_ClientScan is a image-generation model from TrungTran, released April 17, 2026. faceage_ClientScan is an open-weights image model.
by TrungTran
Best for
Ways to use faceage_ClientScan in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your TrungTran API key. osFoundry discovers faceage_ClientScan 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
faceage_ClientScan 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.
faceage_ClientScan vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about faceage_ClientScan
Is faceage_ClientScan free to use?
faceage_ClientScan 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 faceage_ClientScan 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 faceage_ClientScan locally?
Yes. faceage_ClientScan is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is faceage_ClientScan best at?
faceage_ClientScan is well-suited to image classification.
How do I use faceage_ClientScan in osFoundry?
Paste your TrungTran API key in the key dialog (or deploy the open weights for self-hostable models), assign faceage_ClientScan to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by TrungTran on April 17, 2026. Source: https://huggingface.co/TrungTran/faceage_ClientScan