Lenovo_FluxKlein9b_base
Lenovo_FluxKlein9b_base (Danrisi, 2026) is an image-generation model. Lenovo_FluxKlein9b_base is an open-weights image model.
by Danrisi
Best for
Ways to use Lenovo_FluxKlein9b_base in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Danrisi API key. osFoundry discovers Lenovo_FluxKlein9b_base 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
Lenovo_FluxKlein9b_base 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.
Lenovo_FluxKlein9b_base vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Lenovo_FluxKlein9b_base
Is Lenovo_FluxKlein9b_base free to use?
Lenovo_FluxKlein9b_base 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 Lenovo_FluxKlein9b_base 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 Lenovo_FluxKlein9b_base locally?
Yes. Lenovo_FluxKlein9b_base is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Lenovo_FluxKlein9b_base best at?
Lenovo_FluxKlein9b_base is well-suited to text to image.
How do I use Lenovo_FluxKlein9b_base in osFoundry?
Paste your Danrisi API key in the key dialog (or deploy the open weights for self-hostable models), assign Lenovo_FluxKlein9b_base to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Danrisi on February 15, 2026. Source: https://huggingface.co/Danrisi/Lenovo_FluxKlein9b_base