hard_cut_wan_lora
neph1's hard_cut_wan_lora is a image-generation model. hard_cut_wan_lora is an open-weights image model.
by neph1
Best for
Ways to use hard_cut_wan_lora in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your neph1 API key. osFoundry discovers hard_cut_wan_lora 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
hard_cut_wan_lora 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.
hard_cut_wan_lora vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about hard_cut_wan_lora
Is hard_cut_wan_lora free to use?
hard_cut_wan_lora 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 hard_cut_wan_lora 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 hard_cut_wan_lora locally?
Yes. hard_cut_wan_lora is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is hard_cut_wan_lora best at?
hard_cut_wan_lora is well-suited to image to video.
How do I use hard_cut_wan_lora in osFoundry?
Paste your neph1 API key in the key dialog (or deploy the open weights for self-hostable models), assign hard_cut_wan_lora to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by neph1 on October 31, 2025. Source: https://huggingface.co/neph1/hard_cut_wan_lora