tridis_HTR
Released by magistermilitum in 2024, tridis_HTR is an image-generation model. tridis_HTR is an open-weights image model.
by magistermilitum
Best for
Ways to use tridis_HTR in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your magistermilitum API key. osFoundry discovers tridis_HTR 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
tridis_HTR 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.
tridis_HTR vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tridis_HTR
Is tridis_HTR free to use?
tridis_HTR 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 tridis_HTR 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 tridis_HTR locally?
Yes. tridis_HTR is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tridis_HTR best at?
tridis_HTR is well-suited to image to text.
How do I use tridis_HTR in osFoundry?
Paste your magistermilitum API key in the key dialog (or deploy the open weights for self-hostable models), assign tridis_HTR to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by magistermilitum on March 6, 2024. Source: https://huggingface.co/magistermilitum/tridis_HTR