BiRefNet-DIS5K-TR_TEs
Built by ZhengPeng7, BiRefNet-DIS5K-TR_TEs is an image-generation model. BiRefNet-DIS5K-TR_TEs is an open-weights image model.
by ZhengPeng7
Best for
Ways to use BiRefNet-DIS5K-TR_TEs in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ZhengPeng7 API key. osFoundry discovers BiRefNet-DIS5K-TR_TEs 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-DIS5K-TR_TEs 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-DIS5K-TR_TEs vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about BiRefNet-DIS5K-TR_TEs
Is BiRefNet-DIS5K-TR_TEs free to use?
BiRefNet-DIS5K-TR_TEs 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-DIS5K-TR_TEs 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-DIS5K-TR_TEs locally?
Yes. BiRefNet-DIS5K-TR_TEs is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is BiRefNet-DIS5K-TR_TEs best at?
BiRefNet-DIS5K-TR_TEs is well-suited to image segmentation.
How do I use BiRefNet-DIS5K-TR_TEs in osFoundry?
Paste your ZhengPeng7 API key in the key dialog (or deploy the open weights for self-hostable models), assign BiRefNet-DIS5K-TR_TEs 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 August 1, 2024. Source: https://huggingface.co/ZhengPeng7/BiRefNet-DIS5K-TR_TEs