CogVideoX-5b-I2V
Built by zai-org, CogVideoX-5b-I2V is a 5 billion parameter image-generation model. CogVideoX-5b-I2V is an open-weights image model with roughly 5 billion parameters.
by zai-org · 5B parameters
Best for
Ways to use CogVideoX-5b-I2V in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your zai-org API key. osFoundry discovers CogVideoX-5b-I2V 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-5b-I2V 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-5b-I2V
CogVideoX-5b-I2V runs on a single 16GB consumer GPU (~3 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~12 GB).
CogVideoX-5b-I2V vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about CogVideoX-5b-I2V
Is CogVideoX-5b-I2V free to use?
CogVideoX-5b-I2V 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-5b-I2V 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-5b-I2V need?
Approximately 3 GB at Q4 quantisation, or 12 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run CogVideoX-5b-I2V locally?
Yes. CogVideoX-5b-I2V is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is CogVideoX-5b-I2V best at?
CogVideoX-5b-I2V is well-suited to image to video.
How do I use CogVideoX-5b-I2V in osFoundry?
Paste your zai-org API key in the key dialog (or deploy the open weights for self-hostable models), assign CogVideoX-5b-I2V to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by zai-org on September 16, 2024. Source: https://huggingface.co/zai-org/CogVideoX-5b-I2V