Qwen-Image-Layered
Qwen-Image-Layered is a image-generation model from Qwen, released December 17, 2025. Qwen-Image-Layered is an open-weights image model.
by Qwen
Best for
Ways to use Qwen-Image-Layered in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qwen API key. osFoundry discovers Qwen-Image-Layered 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
Qwen-Image-Layered 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.
Qwen-Image-Layered vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen-Image-Layered
Is Qwen-Image-Layered free to use?
Qwen-Image-Layered 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 Qwen-Image-Layered 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 Qwen-Image-Layered locally?
Yes. Qwen-Image-Layered is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen-Image-Layered best at?
Qwen-Image-Layered is well-suited to image text to image.
How do I use Qwen-Image-Layered in osFoundry?
Paste your Qwen API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen-Image-Layered to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qwen on December 17, 2025. Source: https://huggingface.co/Qwen/Qwen-Image-Layered