DreamCube
Released by KevinHuang in 2025, DreamCube is an image-generation model. DreamCube is an open-weights image model.
by KevinHuang
Best for
Ways to use DreamCube in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your KevinHuang API key. osFoundry discovers DreamCube 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
DreamCube 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.
DreamCube vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DreamCube
Is DreamCube free to use?
DreamCube 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 DreamCube 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 DreamCube locally?
Yes. DreamCube is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DreamCube best at?
DreamCube is well-suited to image to 3d.
How do I use DreamCube in osFoundry?
Paste your KevinHuang API key in the key dialog (or deploy the open weights for self-hostable models), assign DreamCube to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by KevinHuang on June 9, 2025. Source: https://huggingface.co/KevinHuang/DreamCube