JCTN_LORAxl
Released by JCTN in 2023, JCTN_LORAxl is an image-generation model. JCTN_LORAxl is an open-weights image model.
by JCTN
Best for
Ways to use JCTN_LORAxl in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your JCTN API key. osFoundry discovers JCTN_LORAxl 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
JCTN_LORAxl 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.
JCTN_LORAxl vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about JCTN_LORAxl
Is JCTN_LORAxl free to use?
JCTN_LORAxl 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 JCTN_LORAxl 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 JCTN_LORAxl locally?
Yes. JCTN_LORAxl is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is JCTN_LORAxl best at?
JCTN_LORAxl is well-suited to text to image.
How do I use JCTN_LORAxl in osFoundry?
Paste your JCTN API key in the key dialog (or deploy the open weights for self-hostable models), assign JCTN_LORAxl to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by JCTN on September 16, 2023. Source: https://huggingface.co/JCTN/JCTN_LORAxl