GLaDOS_TTS
Released by DavesArmoury in 2024, GLaDOS_TTS is an speech-and-audio model. GLaDOS_TTS is an open-weights audio model.
by DavesArmoury
Best for
Ways to use GLaDOS_TTS in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your DavesArmoury API key. osFoundry discovers GLaDOS_TTS 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
GLaDOS_TTS 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.
GLaDOS_TTS vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about GLaDOS_TTS
Is GLaDOS_TTS free to use?
GLaDOS_TTS 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 GLaDOS_TTS 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 GLaDOS_TTS locally?
Yes. GLaDOS_TTS is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is GLaDOS_TTS best at?
GLaDOS_TTS is well-suited to text to speech.
How do I use GLaDOS_TTS in osFoundry?
Paste your DavesArmoury API key in the key dialog (or deploy the open weights for self-hostable models), assign GLaDOS_TTS to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by DavesArmoury on February 20, 2024. Source: https://huggingface.co/DavesArmoury/GLaDOS_TTS