vesselFM
vesselFM is a image-generation model from bwittmann, released December 2, 2024. vesselFM is an open-weights image model.
by bwittmann
Best for
Ways to use vesselFM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bwittmann API key. osFoundry discovers vesselFM 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
vesselFM 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.
vesselFM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vesselFM
Is vesselFM free to use?
vesselFM 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 vesselFM 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 vesselFM locally?
Yes. vesselFM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vesselFM best at?
vesselFM is well-suited to image segmentation.
How do I use vesselFM in osFoundry?
Paste your bwittmann API key in the key dialog (or deploy the open weights for self-hostable models), assign vesselFM to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bwittmann on December 2, 2024. Source: https://huggingface.co/bwittmann/vesselFM