rice-vit-large-patch14-560
rice-vit-large-patch14-560 (DeepGlint-AI, 2025) is an image-generation model. rice-vit-large-patch14-560 is an open-weights image model.
by DeepGlint-AI
Best for
Ways to use rice-vit-large-patch14-560 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your DeepGlint-AI API key. osFoundry discovers rice-vit-large-patch14-560 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
rice-vit-large-patch14-560 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.
rice-vit-large-patch14-560 vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| rice-vit-large-patch14-560 | DeepGlint-AI | — | — | Free (local) | Yes |
| JizzHere | Keltezaa | — | — | Free (local) | Yes |
| Visione | atMrMattV | — | — | Free (local) | Yes |
| Anna | VitoCorleone72 | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about rice-vit-large-patch14-560
Is rice-vit-large-patch14-560 free to use?
rice-vit-large-patch14-560 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 rice-vit-large-patch14-560 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 rice-vit-large-patch14-560 locally?
Yes. rice-vit-large-patch14-560 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is rice-vit-large-patch14-560 best at?
rice-vit-large-patch14-560 is well-suited to image feature extraction.
How do I use rice-vit-large-patch14-560 in osFoundry?
Paste your DeepGlint-AI API key in the key dialog (or deploy the open weights for self-hostable models), assign rice-vit-large-patch14-560 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by DeepGlint-AI on May 16, 2025. Source: https://huggingface.co/DeepGlint-AI/rice-vit-large-patch14-560