vit-face-expression
Built by trpakov, vit-face-expression is an image-generation model. vit-face-expression is an open-weights image model.
by trpakov
Best for
Ways to use vit-face-expression in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your trpakov API key. osFoundry discovers vit-face-expression 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
vit-face-expression 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.
vit-face-expression vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vit-face-expression
Is vit-face-expression free to use?
vit-face-expression 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 vit-face-expression 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 vit-face-expression locally?
Yes. vit-face-expression is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vit-face-expression best at?
vit-face-expression is well-suited to image classification.
How do I use vit-face-expression in osFoundry?
Paste your trpakov API key in the key dialog (or deploy the open weights for self-hostable models), assign vit-face-expression to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by trpakov on November 9, 2022. Source: https://huggingface.co/trpakov/vit-face-expression