svdq-flux.1-schnell-pix2pix-turbo
Built by mit-han-lab, svdq-flux.1-schnell-pix2pix-turbo is an image-generation model. svdq-flux.1-schnell-pix2pix-turbo is an open-weights image model.
by mit-han-lab
Best for
Ways to use svdq-flux.1-schnell-pix2pix-turbo in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mit-han-lab API key. osFoundry discovers svdq-flux.1-schnell-pix2pix-turbo 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
svdq-flux.1-schnell-pix2pix-turbo 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.
svdq-flux.1-schnell-pix2pix-turbo vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about svdq-flux.1-schnell-pix2pix-turbo
Is svdq-flux.1-schnell-pix2pix-turbo free to use?
svdq-flux.1-schnell-pix2pix-turbo 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 svdq-flux.1-schnell-pix2pix-turbo 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 svdq-flux.1-schnell-pix2pix-turbo locally?
Yes. svdq-flux.1-schnell-pix2pix-turbo is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is svdq-flux.1-schnell-pix2pix-turbo best at?
svdq-flux.1-schnell-pix2pix-turbo is well-suited to image to image.
How do I use svdq-flux.1-schnell-pix2pix-turbo in osFoundry?
Paste your mit-han-lab API key in the key dialog (or deploy the open weights for self-hostable models), assign svdq-flux.1-schnell-pix2pix-turbo to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mit-han-lab on February 14, 2025. Source: https://huggingface.co/mit-han-lab/svdq-flux.1-schnell-pix2pix-turbo