dvine82-xl
martineux's dvine82-xl is a image-generation model. dvine82-xl is an open-weights image model.
by martineux
Best for
Ways to use dvine82-xl in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your martineux API key. osFoundry discovers dvine82-xl 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
dvine82-xl 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.
dvine82-xl vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about dvine82-xl
Is dvine82-xl free to use?
dvine82-xl 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 dvine82-xl 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 dvine82-xl locally?
Yes. dvine82-xl is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is dvine82-xl best at?
dvine82-xl is well-suited to text to image.
How do I use dvine82-xl in osFoundry?
Paste your martineux API key in the key dialog (or deploy the open weights for self-hostable models), assign dvine82-xl to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by martineux on February 4, 2026. Source: https://huggingface.co/martineux/dvine82-xl