WAN-DThFF
Released by Jaytsh in 2026, WAN-DThFF is an image-generation model. WAN-DThFF is an open-weights image model.
by Jaytsh
Best for
Ways to use WAN-DThFF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Jaytsh API key. osFoundry discovers WAN-DThFF 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
WAN-DThFF 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.
WAN-DThFF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about WAN-DThFF
Is WAN-DThFF free to use?
WAN-DThFF 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 WAN-DThFF 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 WAN-DThFF locally?
Yes. WAN-DThFF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is WAN-DThFF best at?
WAN-DThFF is well-suited to text to image.
How do I use WAN-DThFF in osFoundry?
Paste your Jaytsh API key in the key dialog (or deploy the open weights for self-hostable models), assign WAN-DThFF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Jaytsh on April 8, 2026. Source: https://huggingface.co/Jaytsh/WAN-DThFF