cogvideox-2b-img2vid
Released by NimVideo in 2024, cogvideox-2b-img2vid is a 2 billion parameter image-generation model. cogvideox-2b-img2vid is an open-weights image model with roughly 2 billion parameters.
by NimVideo · 2B parameters
Best for
Ways to use cogvideox-2b-img2vid in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your NimVideo API key. osFoundry discovers cogvideox-2b-img2vid 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
cogvideox-2b-img2vid 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.
What hardware can run cogvideox-2b-img2vid
cogvideox-2b-img2vid runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~5 GB).
cogvideox-2b-img2vid vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about cogvideox-2b-img2vid
Is cogvideox-2b-img2vid free to use?
cogvideox-2b-img2vid 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 cogvideox-2b-img2vid commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does cogvideox-2b-img2vid need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run cogvideox-2b-img2vid locally?
Yes. cogvideox-2b-img2vid is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is cogvideox-2b-img2vid best at?
cogvideox-2b-img2vid is well-suited to image to video.
How do I use cogvideox-2b-img2vid in osFoundry?
Paste your NimVideo API key in the key dialog (or deploy the open weights for self-hostable models), assign cogvideox-2b-img2vid to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by NimVideo on October 22, 2024. Source: https://huggingface.co/NimVideo/cogvideox-2b-img2vid