temp_model
temp_model (NagaSaiAbhinay, 2025) is an image-generation model. temp_model is an open-weights image model.
by NagaSaiAbhinay
Best for
Ways to use temp_model in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your NagaSaiAbhinay API key. osFoundry discovers temp_model 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
temp_model 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.
temp_model vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about temp_model
Is temp_model free to use?
temp_model 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 temp_model 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 temp_model locally?
Yes. temp_model is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is temp_model best at?
temp_model is well-suited to text to image.
How do I use temp_model in osFoundry?
Paste your NagaSaiAbhinay API key in the key dialog (or deploy the open weights for self-hostable models), assign temp_model to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by NagaSaiAbhinay on September 3, 2025. Source: https://huggingface.co/NagaSaiAbhinay/temp_model