zimage_turbo_training_adapter
Released by ostris in 2025, zimage_turbo_training_adapter is an image-generation model. zimage_turbo_training_adapter is an open-weights image model.
by ostris
Best for
Ways to use zimage_turbo_training_adapter in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ostris API key. osFoundry discovers zimage_turbo_training_adapter 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
zimage_turbo_training_adapter 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.
zimage_turbo_training_adapter vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about zimage_turbo_training_adapter
Is zimage_turbo_training_adapter free to use?
zimage_turbo_training_adapter 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 zimage_turbo_training_adapter 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 zimage_turbo_training_adapter locally?
Yes. zimage_turbo_training_adapter is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is zimage_turbo_training_adapter best at?
zimage_turbo_training_adapter is well-suited to text to image.
How do I use zimage_turbo_training_adapter in osFoundry?
Paste your ostris API key in the key dialog (or deploy the open weights for self-hostable models), assign zimage_turbo_training_adapter to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ostris on November 28, 2025. Source: https://huggingface.co/ostris/zimage_turbo_training_adapter