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