UAGLNet_WHU

Built by ldxxx, UAGLNet_WHU is an image-generation model. UAGLNet_WHU is an open-weights image model.

by ldxxx

Best for

image segmentation

Ways to use UAGLNet_WHU in osFoundry

Connect with your own key (BYOK)

Open the key dialog and paste your ldxxx API key. osFoundry discovers UAGLNet_WHU 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

UAGLNet_WHU 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.

UAGLNet_WHU vs similar models

Model	Org	Params	Context	Input price	Self-host
UAGLNet_WHU	ldxxx	—	—	Free (local)	Yes
Juggernaut	Yntec	—	—	Free (local)	Yes
DeepSeek-OCR-2-6bit	mlx-community	—	—	Free (local)	Yes
stable-diffusion-v1-4-GGUF	gpustack	—	—	Free (local)	Yes

Licence

Unspecified — Licence terms not specified — verify the upstream model card before commercial use.

Check upstream documentation.

Frequently asked about UAGLNet_WHU

Is UAGLNet_WHU free to use?

UAGLNet_WHU 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 UAGLNet_WHU 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 UAGLNet_WHU locally?

Yes. UAGLNet_WHU is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.

What is UAGLNet_WHU best at?

UAGLNet_WHU is well-suited to image segmentation.

How do I use UAGLNet_WHU in osFoundry?

Paste your ldxxx API key in the key dialog (or deploy the open weights for self-hostable models), assign UAGLNet_WHU to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.

Published by ldxxx on December 17, 2025. Source: https://huggingface.co/ldxxx/UAGLNet_WHU