sdxl.juggernaut.v10.unet
Released by refiners in 2024, sdxl.juggernaut.v10.unet is an image-generation model. sdxl.juggernaut.v10.unet is an open-weights image model.
by refiners
Best for
Ways to use sdxl.juggernaut.v10.unet in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your refiners API key. osFoundry discovers sdxl.juggernaut.v10.unet 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
sdxl.juggernaut.v10.unet 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.
sdxl.juggernaut.v10.unet vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| sdxl.juggernaut.v10.unet | refiners | — | — | Free (local) | Yes |
| sdxl-flash | sd-community | — | — | Free (local) | Yes |
| NSFWmodel | lexa862 | — | — | Free (local) | Yes |
| counterfeit-v30 | stablediffusionapi | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about sdxl.juggernaut.v10.unet
Is sdxl.juggernaut.v10.unet free to use?
sdxl.juggernaut.v10.unet 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 sdxl.juggernaut.v10.unet 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 sdxl.juggernaut.v10.unet locally?
Yes. sdxl.juggernaut.v10.unet is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is sdxl.juggernaut.v10.unet best at?
sdxl.juggernaut.v10.unet is well-suited to image to image.
How do I use sdxl.juggernaut.v10.unet in osFoundry?
Paste your refiners API key in the key dialog (or deploy the open weights for self-hostable models), assign sdxl.juggernaut.v10.unet to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by refiners on August 23, 2024. Source: https://huggingface.co/refiners/sdxl.juggernaut.v10.unet