GenD_PE_L
Released by yermandy in 2025, GenD_PE_L is an image-generation model. GenD_PE_L is an open-weights image model.
by yermandy
Best for
Ways to use GenD_PE_L in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your yermandy API key. osFoundry discovers GenD_PE_L 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
GenD_PE_L 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.
GenD_PE_L vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about GenD_PE_L
Is GenD_PE_L free to use?
GenD_PE_L 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 GenD_PE_L 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 GenD_PE_L locally?
Yes. GenD_PE_L is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is GenD_PE_L best at?
GenD_PE_L is well-suited to image classification.
How do I use GenD_PE_L in osFoundry?
Paste your yermandy API key in the key dialog (or deploy the open weights for self-hostable models), assign GenD_PE_L to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by yermandy on November 13, 2025. Source: https://huggingface.co/yermandy/GenD_PE_L