celine14
celine14 is a image-generation model from ng800, released November 22, 2024. celine14 is an open-weights image model.
by ng800
Best for
Ways to use celine14 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ng800 API key. osFoundry discovers celine14 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
celine14 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.
celine14 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about celine14
Is celine14 free to use?
celine14 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 celine14 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 celine14 locally?
Yes. celine14 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is celine14 best at?
celine14 is well-suited to text to image.
How do I use celine14 in osFoundry?
Paste your ng800 API key in the key dialog (or deploy the open weights for self-hostable models), assign celine14 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ng800 on November 22, 2024. Source: https://huggingface.co/ng800/celine14