LTXV2_comfy
Released by Kijai in 2026, LTXV2_comfy is an chat model. LTXV2_comfy is an open-weights chat model.
by Kijai
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use LTXV2_comfy in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Kijai API key. osFoundry discovers LTXV2_comfy 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
LTXV2_comfy 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.
LTXV2_comfy vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LTXV2_comfy
Is LTXV2_comfy free to use?
LTXV2_comfy 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 LTXV2_comfy 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 LTXV2_comfy locally?
Yes. LTXV2_comfy is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LTXV2_comfy best at?
LTXV2_comfy is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use LTXV2_comfy in osFoundry?
Paste your Kijai API key in the key dialog (or deploy the open weights for self-hostable models), assign LTXV2_comfy to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Kijai on January 7, 2026. Source: https://huggingface.co/Kijai/LTXV2_comfy