sdxl_vae
sdxl_vae is a image-generation model from personal1802, released November 11, 2024. sdxl_vae is an open-weights image model.
by personal1802
Best for
Ways to use sdxl_vae in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your personal1802 API key. osFoundry discovers sdxl_vae 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_vae 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_vae vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about sdxl_vae
Is sdxl_vae free to use?
sdxl_vae 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_vae 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_vae locally?
Yes. sdxl_vae is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is sdxl_vae best at?
sdxl_vae is well-suited to text to image.
How do I use sdxl_vae in osFoundry?
Paste your personal1802 API key in the key dialog (or deploy the open weights for self-hostable models), assign sdxl_vae to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by personal1802 on November 11, 2024. Source: https://huggingface.co/personal1802/sdxl_vae