next2-fast-i1-GGUF
Released by thelamapi in 2026, next2-fast-i1-GGUF is an image-generation model. next2-fast-i1-GGUF is an open-weights image model.
by thelamapi
Best for
Ways to use next2-fast-i1-GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your thelamapi API key. osFoundry discovers next2-fast-i1-GGUF 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
next2-fast-i1-GGUF 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.
next2-fast-i1-GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about next2-fast-i1-GGUF
Is next2-fast-i1-GGUF free to use?
next2-fast-i1-GGUF 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 next2-fast-i1-GGUF 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 next2-fast-i1-GGUF locally?
Yes. next2-fast-i1-GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is next2-fast-i1-GGUF best at?
next2-fast-i1-GGUF is well-suited to image text to text.
How do I use next2-fast-i1-GGUF in osFoundry?
Paste your thelamapi API key in the key dialog (or deploy the open weights for self-hostable models), assign next2-fast-i1-GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by thelamapi on March 11, 2026. Source: https://huggingface.co/thelamapi/next2-fast-i1-GGUF