realvisxlV50_v50LightningBakedvae
Built by frankjoshua, realvisxlV50_v50LightningBakedvae is an image-generation model. realvisxlV50_v50LightningBakedvae is an open-weights image model.
by frankjoshua
Best for
Ways to use realvisxlV50_v50LightningBakedvae in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your frankjoshua API key. osFoundry discovers realvisxlV50_v50LightningBakedvae 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
realvisxlV50_v50LightningBakedvae 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.
realvisxlV50_v50LightningBakedvae vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about realvisxlV50_v50LightningBakedvae
Is realvisxlV50_v50LightningBakedvae free to use?
realvisxlV50_v50LightningBakedvae 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 realvisxlV50_v50LightningBakedvae 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 realvisxlV50_v50LightningBakedvae locally?
Yes. realvisxlV50_v50LightningBakedvae is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is realvisxlV50_v50LightningBakedvae best at?
realvisxlV50_v50LightningBakedvae is well-suited to text to image.
How do I use realvisxlV50_v50LightningBakedvae in osFoundry?
Paste your frankjoshua API key in the key dialog (or deploy the open weights for self-hostable models), assign realvisxlV50_v50LightningBakedvae to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by frankjoshua on September 12, 2024. Source: https://huggingface.co/frankjoshua/realvisxlV50_v50LightningBakedvae