lora-training
Mujeeb603's lora-training is a image-generation model. lora-training is an open-weights image model.
by Mujeeb603
Best for
Ways to use lora-training in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Mujeeb603 API key. osFoundry discovers lora-training 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-training 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-training vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about lora-training
Is lora-training free to use?
lora-training 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-training 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-training locally?
Yes. lora-training is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is lora-training best at?
lora-training is well-suited to text to image.
How do I use lora-training in osFoundry?
Paste your Mujeeb603 API key in the key dialog (or deploy the open weights for self-hostable models), assign lora-training to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Mujeeb603 on August 15, 2024. Source: https://huggingface.co/Mujeeb603/lora-training