texify2
texify2 is a image-generation model from Xenova, released January 13, 2024. texify2 is an open-weights image model.
by Xenova
Best for
Ways to use texify2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Xenova API key. osFoundry discovers texify2 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
texify2 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.
texify2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about texify2
Is texify2 free to use?
texify2 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 texify2 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 texify2 locally?
Yes. texify2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is texify2 best at?
texify2 is well-suited to image to text.
How do I use texify2 in osFoundry?
Paste your Xenova API key in the key dialog (or deploy the open weights for self-hostable models), assign texify2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Xenova on January 13, 2024. Source: https://huggingface.co/Xenova/texify2