diffusion_pusht
diffusion_pusht (lerobot, 2024) is an chat model. diffusion_pusht is an open-weights chat model.
by lerobot
Best for
Ways to use diffusion_pusht in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lerobot API key. osFoundry discovers diffusion_pusht 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
diffusion_pusht 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.
diffusion_pusht vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about diffusion_pusht
Is diffusion_pusht free to use?
diffusion_pusht 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 diffusion_pusht 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 diffusion_pusht locally?
Yes. diffusion_pusht is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is diffusion_pusht best at?
diffusion_pusht is well-suited to robotics.
How do I use diffusion_pusht in osFoundry?
Paste your lerobot API key in the key dialog (or deploy the open weights for self-hostable models), assign diffusion_pusht to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lerobot on May 5, 2024. Source: https://huggingface.co/lerobot/diffusion_pusht