TurboLoRA
TurboLoRA is a image-generation model from DiffusionLight, released June 7, 2025. TurboLoRA is an open-weights image model.
by DiffusionLight
Best for
Ways to use TurboLoRA in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your DiffusionLight API key. osFoundry discovers TurboLoRA 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
TurboLoRA 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.
TurboLoRA vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TurboLoRA
Is TurboLoRA free to use?
TurboLoRA 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 TurboLoRA 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 TurboLoRA locally?
Yes. TurboLoRA is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TurboLoRA best at?
TurboLoRA is well-suited to image to image.
How do I use TurboLoRA in osFoundry?
Paste your DiffusionLight API key in the key dialog (or deploy the open weights for self-hostable models), assign TurboLoRA to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by DiffusionLight on June 7, 2025. Source: https://huggingface.co/DiffusionLight/TurboLoRA