oneObsession_v19
Built by tonera, oneObsession_v19 is an image-generation model. oneObsession_v19 is an open-weights image model.
by tonera
Best for
Ways to use oneObsession_v19 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tonera API key. osFoundry discovers oneObsession_v19 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
oneObsession_v19 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.
oneObsession_v19 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about oneObsession_v19
Is oneObsession_v19 free to use?
oneObsession_v19 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 oneObsession_v19 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 oneObsession_v19 locally?
Yes. oneObsession_v19 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is oneObsession_v19 best at?
oneObsession_v19 is well-suited to text to image.
How do I use oneObsession_v19 in osFoundry?
Paste your tonera API key in the key dialog (or deploy the open weights for self-hostable models), assign oneObsession_v19 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tonera on January 23, 2026. Source: https://huggingface.co/tonera/oneObsession_v19