flux-koda
Built by alvdansen, flux-koda is an image-generation model. flux-koda is an open-weights image model.
by alvdansen
Best for
Ways to use flux-koda in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your alvdansen API key. osFoundry discovers flux-koda 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
flux-koda 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.
flux-koda vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about flux-koda
Is flux-koda free to use?
flux-koda 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 flux-koda 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 flux-koda locally?
Yes. flux-koda is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is flux-koda best at?
flux-koda is well-suited to text to image.
How do I use flux-koda in osFoundry?
Paste your alvdansen API key in the key dialog (or deploy the open weights for self-hostable models), assign flux-koda to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by alvdansen on August 16, 2024. Source: https://huggingface.co/alvdansen/flux-koda