Z-Image-Turbo_GGUF
Released by tsqn in 2025, Z-Image-Turbo_GGUF is an image-generation model. Z-Image-Turbo_GGUF is an open-weights image model.
by tsqn
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Ways to use Z-Image-Turbo_GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tsqn API key. osFoundry discovers Z-Image-Turbo_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
Z-Image-Turbo_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.
Z-Image-Turbo_GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Z-Image-Turbo_GGUF
Is Z-Image-Turbo_GGUF free to use?
Z-Image-Turbo_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 Z-Image-Turbo_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 Z-Image-Turbo_GGUF locally?
Yes. Z-Image-Turbo_GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Z-Image-Turbo_GGUF best at?
Z-Image-Turbo_GGUF is well-suited to text to image.
How do I use Z-Image-Turbo_GGUF in osFoundry?
Paste your tsqn API key in the key dialog (or deploy the open weights for self-hostable models), assign Z-Image-Turbo_GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tsqn on December 11, 2025. Source: https://huggingface.co/tsqn/Z-Image-Turbo_GGUF