HQ-Edit-ckpt
Built by UCSC-VLAA, HQ-Edit-ckpt is an image-generation model. HQ-Edit-ckpt is an open-weights image model.
by UCSC-VLAA
Best for
Ways to use HQ-Edit-ckpt in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your UCSC-VLAA API key. osFoundry discovers HQ-Edit-ckpt 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
HQ-Edit-ckpt 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.
HQ-Edit-ckpt vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about HQ-Edit-ckpt
Is HQ-Edit-ckpt free to use?
HQ-Edit-ckpt 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 HQ-Edit-ckpt 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 HQ-Edit-ckpt locally?
Yes. HQ-Edit-ckpt is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is HQ-Edit-ckpt best at?
HQ-Edit-ckpt is well-suited to text to image.
How do I use HQ-Edit-ckpt in osFoundry?
Paste your UCSC-VLAA API key in the key dialog (or deploy the open weights for self-hostable models), assign HQ-Edit-ckpt to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by UCSC-VLAA on March 3, 2024. Source: https://huggingface.co/UCSC-VLAA/HQ-Edit-ckpt