ltx2-eat
Released by kabachuha in 2026, ltx2-eat is an image-generation model. ltx2-eat is an open-weights image model.
by kabachuha
Best for
Ways to use ltx2-eat in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your kabachuha API key. osFoundry discovers ltx2-eat 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
ltx2-eat 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.
ltx2-eat vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ltx2-eat
Is ltx2-eat free to use?
ltx2-eat 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 ltx2-eat 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 ltx2-eat locally?
Yes. ltx2-eat is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ltx2-eat best at?
ltx2-eat is well-suited to image to video.
How do I use ltx2-eat in osFoundry?
Paste your kabachuha API key in the key dialog (or deploy the open weights for self-hostable models), assign ltx2-eat to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by kabachuha on January 14, 2026. Source: https://huggingface.co/kabachuha/ltx2-eat