DreamStudio
Use DreamStudio with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('dreamstudio/acme-dreamstudio');
Use DreamStudio in apps and agents
Generate and edit images with Stability AI models.
Why use Vercel Connect with DreamStudio?
Credentials on demand
Request DreamStudio credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped DreamStudio access behind a reusable connector controlled by your team.
Centralized credential management
Manage DreamStudio credentials in one place and retrieve them through a consistent runtime API.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use DreamStudio with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add DreamStudio to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the DreamStudio connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create dreamstudio --name acme-dreamstudiovercel env pullRequest DreamStudio credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('dreamstudio/acme-dreamstudio');
