clipseg-rd64
CIDAS's clipseg-rd64 is a image-generation model. clipseg-rd64 is an open-weights image model.
by CIDAS
Best for
Ways to use clipseg-rd64 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your CIDAS API key. osFoundry discovers clipseg-rd64 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
clipseg-rd64 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.
clipseg-rd64 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about clipseg-rd64
Is clipseg-rd64 free to use?
clipseg-rd64 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 clipseg-rd64 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 clipseg-rd64 locally?
Yes. clipseg-rd64 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is clipseg-rd64 best at?
clipseg-rd64 is well-suited to image segmentation.
How do I use clipseg-rd64 in osFoundry?
Paste your CIDAS API key in the key dialog (or deploy the open weights for self-hostable models), assign clipseg-rd64 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by CIDAS on November 4, 2022. Source: https://huggingface.co/CIDAS/clipseg-rd64