SDXL_Scraped_Loras_2024
Released by MLbackup in 2023, SDXL_Scraped_Loras_2024 is an chat model. SDXL_Scraped_Loras_2024 is an open-weights chat model.
by MLbackup
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use SDXL_Scraped_Loras_2024 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MLbackup API key. osFoundry discovers SDXL_Scraped_Loras_2024 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
SDXL_Scraped_Loras_2024 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.
SDXL_Scraped_Loras_2024 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SDXL_Scraped_Loras_2024
Is SDXL_Scraped_Loras_2024 free to use?
SDXL_Scraped_Loras_2024 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 SDXL_Scraped_Loras_2024 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 SDXL_Scraped_Loras_2024 locally?
Yes. SDXL_Scraped_Loras_2024 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SDXL_Scraped_Loras_2024 best at?
SDXL_Scraped_Loras_2024 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use SDXL_Scraped_Loras_2024 in osFoundry?
Paste your MLbackup API key in the key dialog (or deploy the open weights for self-hostable models), assign SDXL_Scraped_Loras_2024 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 August 8, 2023. Source: https://huggingface.co/MLbackup/SDXL_Scraped_Loras_2024