internimage_b_1k_224
internimage_b_1k_224 (OpenGVLab, 2025) is an image-generation model. internimage_b_1k_224 is an open-weights image model.
by OpenGVLab
Best for
Ways to use internimage_b_1k_224 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your OpenGVLab API key. osFoundry discovers internimage_b_1k_224 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
internimage_b_1k_224 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.
internimage_b_1k_224 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about internimage_b_1k_224
Is internimage_b_1k_224 free to use?
internimage_b_1k_224 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 internimage_b_1k_224 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 internimage_b_1k_224 locally?
Yes. internimage_b_1k_224 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is internimage_b_1k_224 best at?
internimage_b_1k_224 is well-suited to image classification.
How do I use internimage_b_1k_224 in osFoundry?
Paste your OpenGVLab API key in the key dialog (or deploy the open weights for self-hostable models), assign internimage_b_1k_224 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by OpenGVLab on March 2, 2025. Source: https://huggingface.co/OpenGVLab/internimage_b_1k_224