myximlow2
Built by Plimpumpam, myximlow2 is an image-generation model. myximlow2 is an open-weights image model.
by Plimpumpam
Best for
Ways to use myximlow2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Plimpumpam API key. osFoundry discovers myximlow2 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
myximlow2 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.
myximlow2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about myximlow2
Is myximlow2 free to use?
myximlow2 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 myximlow2 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 myximlow2 locally?
Yes. myximlow2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is myximlow2 best at?
myximlow2 is well-suited to text to image.
How do I use myximlow2 in osFoundry?
Paste your Plimpumpam API key in the key dialog (or deploy the open weights for self-hostable models), assign myximlow2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Plimpumpam on October 17, 2025. Source: https://huggingface.co/Plimpumpam/myximlow2