frosting_lane_flux
frosting_lane_flux is a image-generation model from alvdansen, released August 10, 2024. frosting_lane_flux is an open-weights image model.
by alvdansen
Best for
Ways to use frosting_lane_flux in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your alvdansen API key. osFoundry discovers frosting_lane_flux 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
frosting_lane_flux 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.
frosting_lane_flux vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about frosting_lane_flux
Is frosting_lane_flux free to use?
frosting_lane_flux 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 frosting_lane_flux 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 frosting_lane_flux locally?
Yes. frosting_lane_flux is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is frosting_lane_flux best at?
frosting_lane_flux is well-suited to text to image.
How do I use frosting_lane_flux in osFoundry?
Paste your alvdansen API key in the key dialog (or deploy the open weights for self-hostable models), assign frosting_lane_flux to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by alvdansen on August 10, 2024. Source: https://huggingface.co/alvdansen/frosting_lane_flux