Scraped_2025_Loras
Built by MLbackup, Scraped_2025_Loras is an image-generation model. Scraped_2025_Loras is an open-weights image model.
by MLbackup
Best for
Ways to use Scraped_2025_Loras in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MLbackup API key. osFoundry discovers Scraped_2025_Loras 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
Scraped_2025_Loras 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.
Scraped_2025_Loras vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Scraped_2025_Loras
Is Scraped_2025_Loras free to use?
Scraped_2025_Loras 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 Scraped_2025_Loras 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 Scraped_2025_Loras locally?
Yes. Scraped_2025_Loras is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Scraped_2025_Loras best at?
Scraped_2025_Loras is well-suited to text to image.
How do I use Scraped_2025_Loras in osFoundry?
Paste your MLbackup API key in the key dialog (or deploy the open weights for self-hostable models), assign Scraped_2025_Loras to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MLbackup on January 7, 2025. Source: https://huggingface.co/MLbackup/Scraped_2025_Loras