Janus-35B
Released by FoolDev in 2026, Janus-35B is a 35 billion parameter image-generation model. Janus-35B is an open-weights image model with roughly 35 billion parameters.
by FoolDev · 35B parameters
Best for
Ways to use Janus-35B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FoolDev API key. osFoundry discovers Janus-35B 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
Janus-35B 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.
What hardware can run Janus-35B
Janus-35B runs on a 24GB consumer or workstation GPU (~21 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~84 GB).
Janus-35B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Janus-35B
Is Janus-35B free to use?
Janus-35B 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 Janus-35B commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Janus-35B need?
Approximately 21 GB at Q4 quantisation, or 84 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Janus-35B locally?
Yes. Janus-35B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Janus-35B best at?
Janus-35B is well-suited to image text to text.
How do I use Janus-35B in osFoundry?
Paste your FoolDev API key in the key dialog (or deploy the open weights for self-hostable models), assign Janus-35B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FoolDev on May 2, 2026. Source: https://huggingface.co/FoolDev/Janus-35B