lora_weights
Released by sarathmenon in 2025, lora_weights is an image-generation model. lora_weights is an open-weights image model.
by sarathmenon
Best for
Ways to use lora_weights in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your sarathmenon API key. osFoundry discovers lora_weights 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
lora_weights 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.
lora_weights vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about lora_weights
Is lora_weights free to use?
lora_weights 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 lora_weights 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 lora_weights locally?
Yes. lora_weights is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is lora_weights best at?
lora_weights is well-suited to text to image.
How do I use lora_weights in osFoundry?
Paste your sarathmenon API key in the key dialog (or deploy the open weights for self-hostable models), assign lora_weights to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by sarathmenon on February 22, 2025. Source: https://huggingface.co/sarathmenon/lora_weights