mar
Released by jadechoghari in 2024, mar is an image-generation model. mar is an open-weights image model.
by jadechoghari
Best for
- unconditional image generation
Ways to use mar in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your jadechoghari API key. osFoundry discovers mar 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
mar 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.
mar vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mar
Is mar free to use?
mar 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 mar 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 mar locally?
Yes. mar is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mar best at?
mar is well-suited to unconditional image generation.
How do I use mar in osFoundry?
Paste your jadechoghari API key in the key dialog (or deploy the open weights for self-hostable models), assign mar to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by jadechoghari on September 7, 2024. Source: https://huggingface.co/jadechoghari/mar