LTX_Video
DeepBeepMeep's LTX_Video is a chat model. LTX_Video is an open-weights chat model.
by DeepBeepMeep
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use LTX_Video in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your DeepBeepMeep API key. osFoundry discovers LTX_Video 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
LTX_Video 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.
LTX_Video vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LTX_Video
Is LTX_Video free to use?
LTX_Video 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 LTX_Video 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 LTX_Video locally?
Yes. LTX_Video is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LTX_Video best at?
LTX_Video is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use LTX_Video in osFoundry?
Paste your DeepBeepMeep API key in the key dialog (or deploy the open weights for self-hostable models), assign LTX_Video to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by DeepBeepMeep on May 12, 2025. Source: https://huggingface.co/DeepBeepMeep/LTX_Video