TangoFlux
Released by declare-lab in 2024, TangoFlux is an speech-and-audio model. TangoFlux is an open-weights audio model.
by declare-lab
Best for
Ways to use TangoFlux in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your declare-lab API key. osFoundry discovers TangoFlux 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
TangoFlux 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.
TangoFlux vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TangoFlux
Is TangoFlux free to use?
TangoFlux 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 TangoFlux 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 TangoFlux locally?
Yes. TangoFlux is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TangoFlux best at?
TangoFlux is well-suited to text to audio.
How do I use TangoFlux in osFoundry?
Paste your declare-lab API key in the key dialog (or deploy the open weights for self-hostable models), assign TangoFlux to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by declare-lab on December 24, 2024. Source: https://huggingface.co/declare-lab/TangoFlux