SLANet_plus
PaddlePaddle's SLANet_plus is a image-generation model. SLANet_plus is an open-weights image model.
by PaddlePaddle
Best for
Ways to use SLANet_plus in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your PaddlePaddle API key. osFoundry discovers SLANet_plus 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
SLANet_plus 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.
SLANet_plus vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SLANet_plus
Is SLANet_plus free to use?
SLANet_plus 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 SLANet_plus 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 SLANet_plus locally?
Yes. SLANet_plus is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SLANet_plus best at?
SLANet_plus is well-suited to image to text.
How do I use SLANet_plus in osFoundry?
Paste your PaddlePaddle API key in the key dialog (or deploy the open weights for self-hostable models), assign SLANet_plus to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by PaddlePaddle on June 6, 2025. Source: https://huggingface.co/PaddlePaddle/SLANet_plus