mediapipe_selfie_segmentation
mediapipe_selfie_segmentation (onnx-community, 2024) is an image-generation model. mediapipe_selfie_segmentation is an open-weights image model.
by onnx-community
Best for
Ways to use mediapipe_selfie_segmentation in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your onnx-community API key. osFoundry discovers mediapipe_selfie_segmentation 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
mediapipe_selfie_segmentation 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.
mediapipe_selfie_segmentation vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mediapipe_selfie_segmentation
Is mediapipe_selfie_segmentation free to use?
mediapipe_selfie_segmentation 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 mediapipe_selfie_segmentation 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 mediapipe_selfie_segmentation locally?
Yes. mediapipe_selfie_segmentation is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mediapipe_selfie_segmentation best at?
mediapipe_selfie_segmentation is well-suited to image segmentation.
How do I use mediapipe_selfie_segmentation in osFoundry?
Paste your onnx-community API key in the key dialog (or deploy the open weights for self-hostable models), assign mediapipe_selfie_segmentation to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by onnx-community on November 18, 2024. Source: https://huggingface.co/onnx-community/mediapipe_selfie_segmentation