BiRefNet_lite-matting
BiRefNet_lite-matting (ZhengPeng7, 2025) is an image-generation model. BiRefNet_lite-matting is an open-weights image model.
by ZhengPeng7
Best for
Ways to use BiRefNet_lite-matting in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ZhengPeng7 API key. osFoundry discovers BiRefNet_lite-matting 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
BiRefNet_lite-matting 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.
BiRefNet_lite-matting vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about BiRefNet_lite-matting
Is BiRefNet_lite-matting free to use?
BiRefNet_lite-matting 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 BiRefNet_lite-matting 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 BiRefNet_lite-matting locally?
Yes. BiRefNet_lite-matting is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is BiRefNet_lite-matting best at?
BiRefNet_lite-matting is well-suited to image segmentation.
How do I use BiRefNet_lite-matting in osFoundry?
Paste your ZhengPeng7 API key in the key dialog (or deploy the open weights for self-hostable models), assign BiRefNet_lite-matting to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ZhengPeng7 on April 22, 2025. Source: https://huggingface.co/ZhengPeng7/BiRefNet_lite-matting