Oral_insertion
Oral_insertion (Nesslovver, 2025) is an image-generation model. Oral_insertion is an open-weights image model.
by Nesslovver
Best for
Ways to use Oral_insertion in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Nesslovver API key. osFoundry discovers Oral_insertion 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
Oral_insertion 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.
Oral_insertion vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Oral_insertion
Is Oral_insertion free to use?
Oral_insertion 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 Oral_insertion 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 Oral_insertion locally?
Yes. Oral_insertion is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Oral_insertion best at?
Oral_insertion is well-suited to text to image.
How do I use Oral_insertion in osFoundry?
Paste your Nesslovver API key in the key dialog (or deploy the open weights for self-hostable models), assign Oral_insertion to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Nesslovver on September 18, 2025. Source: https://huggingface.co/Nesslovver/Oral_insertion